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Author: Alain Faure
Publisher: Hermes Science Publications
ISBN: 9782866017187
Category :
Languages : fr
Pages : 245
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Book Description
Cybernétique des réseaux neuronaux traite d'un concept d'actualité, celui du réseau de neurones artificiels, bien adapté au traitement de l'information et des signaux. Les travaux théoriques consacrés à ces structures se développent d'une manière fulgurante depuis quelques années. L'établissement récent de modèles fondamentaux de réseaux et l'élaboration d'algorithmes assurant leur apprentissage et leur utilisation ont entraîné de nombreuses applications. Ces dernières concernent, par exemple, la reconnaissance et la classification automatique dans le domaine de l'écrit et de la parole, la prédiction de tendances boursières, la commande de processus comme le pilotage d'un aéronef ou la conduite automatique d'un véhicule... Il est apparu intéressant de présenter dans cet ouvrage les aspects les plus importants de ce domaine : les propriétés essentielles du neurone biologique, le comportement, notamment dynamique, d'assemblées de neurones. L'olfaction et la vision sont examinées ainsi que la réalisation artificielle d'aspects particuliers de ces fonctions. Après la description des principaux modèles de réseaux, sont développées des applications à caractère plus industriel, telles que l'identification et la commande. Cet ouvrage s'adresse tant aux étudiants qu'aux chercheurs et ingénieurs souhaitant actualiser leurs connaissances pour appréhender ou concevoir de nouvelles applications dans ce domaine.
Author: Alain Faure
Publisher: Hermes Science Publications
ISBN: 9782866017187
Category :
Languages : fr
Pages : 245
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Book Description
Cybernétique des réseaux neuronaux traite d'un concept d'actualité, celui du réseau de neurones artificiels, bien adapté au traitement de l'information et des signaux. Les travaux théoriques consacrés à ces structures se développent d'une manière fulgurante depuis quelques années. L'établissement récent de modèles fondamentaux de réseaux et l'élaboration d'algorithmes assurant leur apprentissage et leur utilisation ont entraîné de nombreuses applications. Ces dernières concernent, par exemple, la reconnaissance et la classification automatique dans le domaine de l'écrit et de la parole, la prédiction de tendances boursières, la commande de processus comme le pilotage d'un aéronef ou la conduite automatique d'un véhicule... Il est apparu intéressant de présenter dans cet ouvrage les aspects les plus importants de ce domaine : les propriétés essentielles du neurone biologique, le comportement, notamment dynamique, d'assemblées de neurones. L'olfaction et la vision sont examinées ainsi que la réalisation artificielle d'aspects particuliers de ces fonctions. Après la description des principaux modèles de réseaux, sont développées des applications à caractère plus industriel, telles que l'identification et la commande. Cet ouvrage s'adresse tant aux étudiants qu'aux chercheurs et ingénieurs souhaitant actualiser leurs connaissances pour appréhender ou concevoir de nouvelles applications dans ce domaine.
Author: Gérard Chazal
Publisher: Editions Champ Vallon
ISBN: 9782876733015
Category : Information science
Languages : fr
Pages : 294
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Book Description
Se présentant comme une enquête philosophique sur le phénomène informatique qui s'est développé dans la seconde moitié du XXe siècle, cet ouvrage amène à s'interroger sur l'homme et son rapport au sens. Il nous conduit de l'automate aux sciences du vivant et particulièrement aux neurosciences.
Author: Kelvin K. L. Wong
Publisher: John Wiley & Sons
ISBN: 1394217501
Category : Computers
Languages : en
Pages : 436
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Book Description
CYBERNETICAL INTELLIGENCE Highly comprehensive, detailed, and up-to-date overview of artificial intelligence and cybernetics, with practical examples and supplementary learning resources Cybernetical Intelligence: Engineering Cybernetics with Machine Intelligence is a comprehensive guide to the field of cybernetics and neural networks, as well as the mathematical foundations of these technologies. The book provides a detailed explanation of various types of neural networks, including feedforward networks, recurrent neural networks, and convolutional neural networks as well as their applications to different real-world problems. This groundbreaking book presents a pioneering exploration of machine learning within the framework of cybernetics. It marks a significant milestone in the field’s history, as it is the first book to describe the development of machine learning from a cybernetics perspective. The introduction of the concept of “Cybernetical Intelligence” and the generation of new terminology within this context propel new lines of thought in the historical development of artificial intelligence. With its profound implications and contributions, this book holds immense importance and is poised to become a definitive resource for scholars and researchers in this field of study. Each chapter is specifically designed to introduce the theory with several examples. This comprehensive book includes exercise questions at the end of each chapter, providing readers with valuable opportunities to apply and strengthen their understanding of cybernetical intelligence. To further support the learning journey, solutions to these questions are readily accessible on the book’s companion site. Additionally, the companion site offers programming practice exercises and assignments, enabling readers to delve deeper into the practical aspects of the subject matter. Cybernetical Intelligence includes information on: The history and development of cybernetics and its influence on the development of neural networks Developments and innovations in artificial intelligence and machine learning, such as deep reinforcement learning, generative adversarial networks, and transfer learning Mathematical foundations of artificial intelligence and cybernetics, including linear algebra, calculus, and probability theory Ethical implications of artificial intelligence and cybernetics as well as responsible and transparent development and deployment of AI systems Presenting a highly detailed and comprehensive overview of the field, with modern developments thoroughly discussed, Cybernetical Intelligence is an essential textbook that helps students make connections with real-life engineering problems by providing both theory and practice, along with a myriad of helpful learning aids.
Author: P. S. Neelakanta
Publisher: CRC Press
ISBN: 100014125X
Category : Technology & Engineering
Languages : en
Pages : 233
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Book Description
Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information. Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information processing system memory and information storage in the interconnected neural web extremum (maximum and minimum) information entropy neural network training non-conventional, statistical distance-measures for neural network optimizations symmetric and asymmetric characteristics of information-theoretic error-metrics algorithmic complexity based representation of neural information-theoretic parameters genetic algorithms versus neural information dynamics of neurocybernetics viewed in the information-theoretic plane nonlinear, information-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework of neural information processing and neural information flow fuzzy information and neural networks neural dynamics conceived through fuzzy information parameters neural information flow dynamics informatics of neural stochastic resonance Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.
Author: Holk Cruse
Publisher:
ISBN: 9783131021816
Category : Cybernetics
Languages : en
Pages : 167
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Book Description
Author: James A. Anderson
Publisher: MIT Press
ISBN: 0262510758
Category : Computers
Languages : en
Pages : 762
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Book Description
In bringing together seminal articles on the foundations of research, the first volume of Neurocomputing has become an established guide to the background of concepts employed in this burgeoning field. Neurocomputing 2 collects forty-one articles covering network architecture, neurobiological computation, statistics and pattern classification, and problems and applications that suggest important directions for the evolution of neurocomputing.James A. Anderson is Professor in the Department of Cognitive and Linguistic Sciences at Brown University. Andras Pellionisz is a Research Associate Professor in the Department of Physiology and Biophysics at New York Medical Center and a Senior National Research Council Associate to NASA. Edward Rosenfeld is editor and publisher of the newsletters Intelligence and Medical Intelligence.
Author: Philip D. Wasserman
Publisher: Van Nostrand Reinhold Company
ISBN:
Category : Computers
Languages : en
Pages : 1032
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Book Description
Derived from the database Neural Base (still available at $495.00), this bibliography, covering more than 4,000 references, is an important collection of research information. Extensive annotations have been added to approximately 75% of the entries in the print version. Periodicals, private reports, and books are included. Indexed by author, keyword, and publication. Neurons were slacking off when A mathematical theory... was indexed under "A". Annotation copyrighted by Book News, Inc., Portland, OR
Author: Michael A. Arbib
Publisher: John Wiley & Sons
ISBN:
Category : Computers
Languages : en
Pages : 264
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Book Description
Author: R. Eckmiller
Publisher: Elsevier
ISBN: 1483294277
Category : Computers
Languages : en
Pages : 464
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Book Description
This book is the outcome of the International Symposium on Neural Networks for Sensory and Motor Systems (NSMS) held in March 1990 in the FRG. The NSMS symposium assembled 45 invited experts from Europe, America and Japan representing the fields of Neuroinformatics, Computer Science, Computational Neuroscience, and Neuroscience.As a rapidly-published report on the state of the art in Neural Computing it forms a reference book for future research in this highly interdisciplinary field and should prove useful in the endeavor to transfer concepts of brain function and structure to novel neural computers with adaptive, dynamical neural net topologies.A feature of the book is the completeness of the references provided. An alphabetical list of all references quoted in the papers is given, as well as a separate list of general references to help newcomers to the field. A subject index and author index also facilitate access to various details.
Author: Rolf Eckmiller
Publisher: Springer Science & Business Media
ISBN: 3642837409
Category : Computers
Languages : en
Pages : 562
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Book Description
the outcome of a NATO Advanced Research Workshop (ARW) This book is held in Neuss (near Dusseldorf), Federal Republic of Germany from 28 September to 2 October, 1987. The workshop assembled some 50 invited experts from Europe, Ameri ca, and Japan representing the fields of Neuroscience, Computational Neuroscience, Cellular Automata, Artificial Intelligence, and Compu ter Design; more than 20 additional scientists from various countries attended as observers. The 50 contributions in this book cover a wide range of topics, including: Neural Network Architecture, Learning and Memory, Fault Tolerance, Pattern Recognition, and Motor Control in Brains versus Neural Computers. Twelve of these contributions are review papers. The readability of this book was enhanced by a number of measures: * The contributions are arranged in seven chapters. * A separate List of General References helps newcomers to this ra pidly growing field to find introductory books. * The Collection of References from all Contributions provides an alphabetical list of all references quoted in the individual con tributions. * Separate Reference Author and Subject Indices facilitate access to various details. Group Reports (following the seven chapters) summarize the discus sions regarding four specific topics relevant for the 'state of the art' in Neural Computers.
