Neural Nets and Surroundings

Neural Nets and Surroundings

This volume collects a selection of contributions which has been presented at the 22nd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN).

Author: Bruno Apolloni

Publisher: Springer

ISBN: 3642354688

Category: Computers

Page: 456

View: 817

This volume collects a selection of contributions which has been presented at the 22nd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Italy, Vietri sul Mare (Salerno), during May 17-19, 2012. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in three main components, two special sessions and a group of regular sessions featuring different aspects and point of views of artificial neural networks and natural intelligence, also including applications of present compelling interest.
Categories: Computers

Artificial Neural Nets and Genetic Algorithms

Artificial Neural Nets and Genetic Algorithms

The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague.

Author: Vera Kurkova

Publisher: Springer Science & Business Media

ISBN: 3211836519

Category: Computers

Page: 506

View: 702

The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits.
Categories: Computers

Neural Network Modeling of the Greenhouse Aerial Environment

Neural Network Modeling of the Greenhouse Aerial Environment

In this thesis neural networks are considered for modeling the short term
response of the greenhouse aerial environment . Different neural network
architectures are considered such as multilayer feedforward networks and Elman
recurrent ...

Author: Nick Rerras

Publisher:

ISBN: CORNELL:31924076499056

Category:

Page: 178

View: 167

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Smart Engineering System Design

Smart Engineering System Design

The newest volume in this series presents refereed papers in the following categories and their applications in the engineering domain: Neural Networks; Complex Networks; Evolutionary Programming; Data Mining; Fuzzy Logic; Adaptive Control; ...

Author: Cihan H. Dagli

Publisher: Intelligent Engineering System

ISBN: 079180240X

Category: Computers

Page: 894

View: 895

The newest volume in this series presents refereed papers in the following categories and their applications in the engineering domain: Neural Networks; Complex Networks; Evolutionary Programming; Data Mining; Fuzzy Logic; Adaptive Control; Pattern Recognition; Smart Engineering System Design. These papers are intended to provide a forum for researchers in the field to exchange ideas on smart engineering system design.
Categories: Computers

Neural Nets WIRN VIETRI 97

Neural Nets WIRN VIETRI 97

Proceedings of the 9th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno,
Italy, 22–24 May 1997 Maria Marinaro, ... The directional symbols can be a black
directional arrow to drive the robot into indoor environment or a black square to ...

Author: Maria Marinaro

Publisher: Springer Science & Business Media

ISBN: 9781447115205

Category: Computers

Page: 338

View: 326

This volume contains selected papers from WIRN VIETRI-97, the 9th Italian Workshop on Neural Nets, held Vietri sul Mare, Salerno, Italy, from 22-24 May 1997. The papers cover a variety of topics related to neural networks, including pattern recognition, signal processing, theoretical models, applications in science and industry, virtual reality, fuzzy systems, and software algorithms. = By providing the reader with a comprehensive overview of recent research work in this area, the volume makes an invaluab le contribution to the Perspectives in Neural Computing Series. Neural Nets - WIRN VIETRI-97 will provide invaluable reading material for anyone who needs to keep up to date with the latest developments in neural networks and related areas. It will be of particular interest to academic and industrial researchers, and postgraduate and graduate students.
Categories: Computers

Neural Networks

Neural Networks

In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets.

Author: Raul Rojas

Publisher: Springer Science & Business Media

ISBN: 9783642610684

Category: Computers

Page: 502

View: 108

Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing.
Categories: Computers

Neural Networks In Biomedicine Proceedings Of The Advanced School Of The Italian Bromedical Physics Association

Neural Networks In Biomedicine   Proceedings Of The Advanced School Of The Italian Bromedical Physics Association

But organisms can also determine or influence their objective environment by
displacing, modify, creating, destroying, etc. parts of the objective environment.
Neural networks that live in environment live in an objective environment,
although ...

Author: Masulli Francesco

Publisher: World Scientific

ISBN: 9789814551533

Category:

Page: 416

View: 855

This book contains a collection of essays written in honor of Wolfhart Zimmermann's 80th birthday, most of them based on talks presented at a symposium in his honor.The book shows the unifying force of a subject (Quantum Field Theory) and a person (Zimmermann). It ranges from fundamental questions in quantum physics over applications to particle physics and noncommutative geometry to the latest developments in many body theory and dynamical systems. These key ideas are elucidated by worldwide-recognized experts including Faddeev, Becchi, Buchholz, Lowenstein and Salmhofer.Readers seeking examples on how a subject has evolved, diversified and deepened over the course of several decades and how a single person can influence this process can find here a perfect illustration. Altogether, readers are treated to a high-brow intellectual adventure.
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Applications of Neural Networks

Applications of Neural Networks

The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'.

Author: Alan Murray

Publisher: Springer Science & Business Media

ISBN: 9781475723793

Category: Science

Page: 322

View: 145

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'. For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.
Categories: Science

Fundamentals of Artificial Neural Networks

Fundamentals of Artificial Neural Networks

When a neural network interacts with a fixed and unchanging (stationary)
environment, the aim of the learning algorithm is to adjust the weights of the
network in order to produce an optimal response, i.e., an optimal representation
of the ...

Author: Mohamad H. Hassoun

Publisher: MIT Press

ISBN: 026208239X

Category: Computers

Page: 511

View: 218

A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.
Categories: Computers

Artificial Neural Nets and Genetic Algorithms

Artificial Neural Nets and Genetic Algorithms

Abstract 2 The Simulated Environment This paper discusses the design of a
virtual table - tennis environment , and the design of neural network based
controllers to play in that environment . The motivation behind the work is to
provide an ...

Author: George D. Smith

Publisher: Springer

ISBN: UOM:39015050743080

Category: Business & Economics

Page: 634

View: 278

This is the third in a series of conferences devoted primarily to the theory and applications of artificial neural networks and genetic algorithms. The first such event was held in Innsbruck, Austria, in April 1993, the second in Ales, France, in April 1995. We are pleased to host the 1997 event in the mediaeval city of Norwich, England, and to carryon the fine tradition set by its predecessors of providing a relaxed and stimulating environment for both established and emerging researchers working in these and other, related fields. This series of conferences is unique in recognising the relation between the two main themes of artificial neural networks and genetic algorithms, each having its origin in a natural process fundamental to life on earth, and each now well established as a paradigm fundamental to continuing technological development through the solution of complex, industrial, commercial and financial problems. This is well illustrated in this volume by the numerous applications of both paradigms to new and challenging problems. The third key theme of the series, therefore, is the integration of both technologies, either through the use of the genetic algorithm to construct the most effective network architecture for the problem in hand, or, more recently, the use of neural networks as approximate fitness functions for a genetic algorithm searching for good solutions in an 'incomplete' solution space, i.e. one for which the fitness is not easily established for every possible solution instance.
Categories: Business & Economics

Process Neural Networks

Process Neural Networks

It should be said that this perception not only acquires information from the
outside environment by sensors, but also pretreats the information. An artificial
neural network perceptron, especially a multi-layer perceptron, has strong
processing ...

Author: Xingui He

Publisher: Springer Science & Business Media

ISBN: 3540737626

Category: Computers

Page: 240

View: 495

For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.
Categories: Computers

Complex Valued Neural Networks

Complex Valued Neural Networks

Therefore, the processing in the neural networks is largely influenced by the
accumulation of experience, i.e., what they have felt and obtained from the
environment. We notice this fact in our biological neural network, or brain, in the
daily life.

Author: Akira Hirose

Publisher: Springer

ISBN: 9783540334576

Category: Computers

Page: 176

View: 716

This monograph instructs graduate- and undergraduate-level students in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering on the concepts of complex-valued neural networks. Emphasizing basic concepts and ways of thinking about neural networks, the author focuses on neural networks that deal with complex numbers; the practical advantages of complex-valued neural networks, and their origins; the development of principal applications? The book uses detailed examples to answer these questions and more.
Categories: Computers

Artificial Neural Networks and Machine Learning ICANN 2019 Theoretical Neural Computation

Artificial Neural Networks and Machine Learning     ICANN 2019  Theoretical Neural Computation

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019.

Author: Igor V. Tetko

Publisher: Springer Nature

ISBN: 9783030304874

Category: Computers

Page: 839

View: 919

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
Categories: Computers

Complex Valued Neural Networks

Complex Valued Neural Networks

Demonstrating advanced theories with a wide range of applications, including communication systems, image processing systems, and brain-computer interfaces, this text offers comprehensive coverage of: Conventional complex-valued neural ...

Author: Akira Hirose

Publisher: John Wiley & Sons

ISBN: 9781118590065

Category: Computers

Page: 304

View: 822

Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed of amplitude and phase, which is one of the core concepts in physical systems to deal with electromagnetic, light, sonic/ultrasonic waves as well as quantum waves, namely, electron and superconducting waves. This fact is a critical advantage in practical applications in diverse fields of engineering, where signals are routinely analyzed and processed in time/space, frequency, and phase domains. Complex-Valued Neural Networks: Advances and Applications covers cutting-edge topics and applications surrounding this timely subject. Demonstrating advanced theories with a wide range of applications, including communication systems, image processing systems, and brain-computer interfaces, this text offers comprehensive coverage of: Conventional complex-valued neural networks Quaternionic neural networks Clifford-algebraic neural networks Presented by international experts in the field, Complex-Valued Neural Networks: Advances and Applications is ideal for advanced-level computational intelligence theorists, electromagnetic theorists, and mathematicians interested in computational intelligence, artificial intelligence, machine learning theories, and algorithms.
Categories: Computers

Hierarchical Neural Networks for Image Interpretation

Hierarchical Neural Networks for Image Interpretation

This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation.

Author: Sven Behnke

Publisher: Springer Science & Business Media

ISBN: 9783540407225

Category: Computers

Page: 224

View: 678

Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.
Categories: Computers

Neural Networks for Identification Prediction and Control

Neural Networks for Identification  Prediction and Control

This book describes examples of applications of neural networks In modelling, prediction and control.

Author: Duc T. Pham

Publisher: Springer

ISBN: 1447132467

Category: Technology & Engineering

Page: 238

View: 202

In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural networks are computing systems characterised by the ability to learn from examples rather than having to be programmed in a conventional sense. Their use enables the behaviour of complex systems to be modelled and predicted and accurate control to be achieved through training, without a priori information about the systems' structures or parameters. This book describes examples of applications of neural networks In modelling, prediction and control. The topics covered include identification of general linear and non-linear processes, forecasting of river levels, stock market prices and currency exchange rates, and control of a time-delayed plant and a two-joint robot. These applications employ the major types of neural networks and learning algorithms. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network. In addition, cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems are also presented. The main learning algorithm adopted in the applications is the standard backpropagation (BP) algorithm. Widrow-Hoff learning, dynamic BP and evolutionary learning are also described.
Categories: Technology & Engineering

Neural Networks and Systolic Array Design

Neural Networks and Systolic Array Design

This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications.

Author:

Publisher:

ISBN: 9789814489478

Category:

Page:

View: 908

Categories:

Neural Networks with R

Neural Networks with R

Uncover the power of artificial neural networks by implementing them through R code.About This Book* Develop a strong background in neural networks with R, to implement them in your applications* Build smart systems using the power of deep ...

Author: Giuseppe Ciaburro

Publisher:

ISBN: 1788397878

Category: Computers

Page: 270

View: 599

Uncover the power of artificial neural networks by implementing them through R code.About This Book* Develop a strong background in neural networks with R, to implement them in your applications* Build smart systems using the power of deep learning* Real-world case studies to illustrate the power of neural network modelsWho This Book Is ForThis book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need!What You Will Learn* Set up R packages for neural networks and deep learning* Understand the core concepts of artificial neural networks* Understand neurons, perceptrons, bias, weights, and activation functions* Implement supervised and unsupervised machine learning in R for neural networks* Predict and classify data automatically using neural networks* Evaluate and fine-tune the models you build.In DetailNeural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning.This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you'll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases.By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book.Style and approachA step-by-step guide filled with real-world practical examples.
Categories: Computers

Neural Nets Wirn Vietri 93 Proceedings Of Sixth Italian Workshop

Neural Nets Wirn Vietri   93  Proceedings Of Sixth Italian Workshop

The workshop was the last to be organised by the late Professor Eduardo R. Cainello, known worldwide for his fundamental contributions to cybernetics and theoretical physics, and to whom this volume is dedicated.

Author: Caianiello E R

Publisher: World Scientific

ISBN: 9789814551694

Category:

Page: 420

View: 369

Mainstream economics generally assumes a universalistic market-oriented economic behavior that drives countries to adopt one economic system, with marginal variations. This book extends the scope of theory and applications by asserting that other distinct behaviors evolve and dominate in other economic systems. Systemic differences arise from distinct social, political and economic behavioral-motivational types that associate with intensive agent activity in household, state and firm settings. External conditions, historical events, and agent interactions ultimately result in domination of one motivational type over others; thus determining distinct profiles of structure, conduct, and performance in different economic systems, that are generally observed in the adopting countries.The book validates the theory empirically, traces the historical evolution of the respective economic systems in the world regions and evaluates their responses to various systemic failures such as monopoly, uncertainties, externalities and collective needs. The evaluation is extended to structural changes and system performance regarding growth and distribution.This book draws on microeconomics, welfare economics, development economics and the international economy. The book projects the influence potential of leading countries/systems, and treats effects of displacement of incumbent leaders (US, Japan) by newcomer leaders (China, India) on system competition and on world governance.
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