Competition And Cooperation In Neural Nets

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Competition and Cooperation in Neural Nets

Author : S. Amari
Publisher : Springer Science & Business Media
ISBN 13 : 3642464661
Total Pages : 460 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Competition and Cooperation in Neural Nets by : S. Amari

Download or read book Competition and Cooperation in Neural Nets written by S. Amari and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human brain, wi th its hundred billion or more neurons, is both one of the most complex systems known to man and one of the most important. The last decade has seen an explosion of experimental research on the brain, but little theory of neural networks beyond the study of electrical properties of membranes and small neural circuits. Nonetheless, a number of workers in Japan, the United States and elsewhere have begun to contribute to a theory which provides techniques of mathematical analysis and computer simulation to explore properties of neural systems containing immense numbers of neurons. Recently, it has been gradually recognized that rather independent studies of the dynamics of pattern recognition, pattern format::ion, motor control, self-organization, etc. , in neural systems do in fact make use of common methods. We find that a "competition and cooperation" type of interaction plays a fundamental role in parallel information processing in the brain. The present volume brings together 23 papers presented at a U. S. -Japan Joint Seminar on "Competition and Cooperation in Neural Nets" which was designed to catalyze better integration of theory and experiment in these areas. It was held in Kyoto, Japan, February 15-19, 1982, under the joint sponsorship of the U. S. National Science Foundation and the Japan Society for the Promotion of Science. Participants included brain theorists, neurophysiologists, mathematicians, computer scientists, and physicists. There are seven papers from the U. S.

Mathematical Modeling of the Hearing Process

Author : Duane G. Albrecht
Publisher :
ISBN 13 : 9780387115740
Total Pages : 104 pages
Book Rating : 4.1/5 (157 download)

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Book Synopsis Mathematical Modeling of the Hearing Process by : Duane G. Albrecht

Download or read book Mathematical Modeling of the Hearing Process written by Duane G. Albrecht and published by . This book was released on 1974 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Competition and Cooperation in Neural Nets

Author : Eckart Frehland
Publisher :
ISBN 13 : 9780387115900
Total Pages : 169 pages
Book Rating : 4.1/5 (159 download)

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Book Synopsis Competition and Cooperation in Neural Nets by : Eckart Frehland

Download or read book Competition and Cooperation in Neural Nets written by Eckart Frehland and published by . This book was released on 1982 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:

US Japan Seminar on Competition and Cooperation in Neural Nets // US Japan Joint Seminar on Competition and Cooperation in Neural Nets ; 1987

Download US Japan Seminar on Competition and Cooperation in Neural Nets // US Japan Joint Seminar on Competition and Cooperation in Neural Nets ; 1987 PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (258 download)

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Book Synopsis US Japan Seminar on Competition and Cooperation in Neural Nets // US Japan Joint Seminar on Competition and Cooperation in Neural Nets ; 1987 by :

Download or read book US Japan Seminar on Competition and Cooperation in Neural Nets // US Japan Joint Seminar on Competition and Cooperation in Neural Nets ; 1987 written by and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Dynamic Interactions in Neural Networks

Author : Michael A Arbib
Publisher :
ISBN 13 : 9781461245377
Total Pages : 292 pages
Book Rating : 4.2/5 (453 download)

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Book Synopsis Dynamic Interactions in Neural Networks by : Michael A Arbib

Download or read book Dynamic Interactions in Neural Networks written by Michael A Arbib and published by . This book was released on 1988-12-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Current Catalog

Author : National Library of Medicine (U.S.)
Publisher :
ISBN 13 :
Total Pages : 1024 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Current Catalog by : National Library of Medicine (U.S.)

Download or read book Current Catalog written by National Library of Medicine (U.S.) and published by . This book was released on with total page 1024 pages. Available in PDF, EPUB and Kindle. Book excerpt: First multi-year cumulation covers six years: 1965-70.

Elements of Artificial Neural Networks

Author : Kishan Mehrotra
Publisher : MIT Press
ISBN 13 : 9780262133289
Total Pages : 376 pages
Book Rating : 4.1/5 (332 download)

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Book Synopsis Elements of Artificial Neural Networks by : Kishan Mehrotra

Download or read book Elements of Artificial Neural Networks written by Kishan Mehrotra and published by MIT Press. This book was released on 1997 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.

Competition-Based Neural Networks with Robotic Applications

Author : Shuai Li
Publisher : Springer
ISBN 13 : 9811049475
Total Pages : 132 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Competition-Based Neural Networks with Robotic Applications by : Shuai Li

Download or read book Competition-Based Neural Networks with Robotic Applications written by Shuai Li and published by Springer. This book was released on 2017-05-30 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots. Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems.

Advances in Neural Networks - ISNN 2005

Author : Jun Wang
Publisher : Springer
ISBN 13 : 3540320679
Total Pages : 994 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Advances in Neural Networks - ISNN 2005 by : Jun Wang

Download or read book Advances in Neural Networks - ISNN 2005 written by Jun Wang and published by Springer. This book was released on 2005-05-04 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30–June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China. ISNN emerged as a leading conference on neural computation in the region with - creasing global recognition and impact. ISNN 2005 received 1425 submissions from authors on ?ve continents (Asia, Europe, North America, South America, and Oc- nia), 33 countries and regions (Mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, India, Nepal, Iran, Qatar, United Arab Emirates, Turkey, Lithuania, Hungary, Poland, Austria, Switzerland, Germany, France, Sweden, Norway, Spain, Portugal, UK, USA, Canada, Venezuela, Brazil, Chile, Australia, and New Zealand). Based on rigorous reviews, 483 high-quality papers were selected by the Program Committee for presentation at ISNN 2005 and publication in the proce- ings, with an acceptance rate of less than 34%. In addition to the numerous contributed papers, 10 distinguished scholars were invited to give plenary speeches and tutorials at ISNN 2005.

Introduction to Neural Networks

Author : Jeannette Lawrence
Publisher :
ISBN 13 :
Total Pages : 366 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Introduction to Neural Networks by : Jeannette Lawrence

Download or read book Introduction to Neural Networks written by Jeannette Lawrence and published by . This book was released on 1994 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Visual Structures and Integrated Functions

Author : Michael A. Arbib
Publisher : Springer Science & Business Media
ISBN 13 : 3642845452
Total Pages : 437 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Visual Structures and Integrated Functions by : Michael A. Arbib

Download or read book Visual Structures and Integrated Functions written by Michael A. Arbib and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume integrates theory and experiment to place the study of vision within the context of the action systems which use visual information. This theme is developed by stressing: (a) The importance of situating anyone part of the brain in the context of its interactions with other parts of the brain in subserving animal behavior. The title of this volume emphasizes that visual function is to be be viewed in the context of the integrated functions of the organism. (b) Both the intrinsic interest of frog and toad as animals in which to study the neural mechanisms of visuomotor coordination, and the importance of comparative studies with other organisms so that we may learn from an analysis of both similarities and differences. The present volume thus supplements our studies of frog and toad with papers on salamander, bird and reptile, turtle, rat, gerbil, rabbit, and monkey. (c) Perhaps most distinctively, the interaction between theory and experiment.

Neural Networks in Robotics

Author : George A. Bekey
Publisher : Springer Science & Business Media
ISBN 13 : 1461531802
Total Pages : 560 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Neural Networks in Robotics by : George A. Bekey

Download or read book Neural Networks in Robotics written by George A. Bekey and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks in Robotics is the first book to present an integrated view of both the application of artificial neural networks to robot control and the neuromuscular models from which robots were created. The behavior of biological systems provides both the inspiration and the challenge for robotics. The goal is to build robots which can emulate the ability of living organisms to integrate perceptual inputs smoothly with motor responses, even in the presence of novel stimuli and changes in the environment. The ability of living systems to learn and to adapt provides the standard against which robotic systems are judged. In order to emulate these abilities, a number of investigators have attempted to create robot controllers which are modelled on known processes in the brain and musculo-skeletal system. Several of these models are described in this book. On the other hand, connectionist (artificial neural network) formulations are attractive for the computation of inverse kinematics and dynamics of robots, because they can be trained for this purpose without explicit programming. Some of the computational advantages and problems of this approach are also presented. For any serious student of robotics, Neural Networks in Robotics provides an indispensable reference to the work of major researchers in the field. Similarly, since robotics is an outstanding application area for artificial neural networks, Neural Networks in Robotics is equally important to workers in connectionism and to students for sensormonitor control in living systems.

Being and becoming

Author : Jose Luis Perez Velazquez
Publisher : Springer Nature
ISBN 13 : 3030782646
Total Pages : 217 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Being and becoming by : Jose Luis Perez Velazquez

Download or read book Being and becoming written by Jose Luis Perez Velazquez and published by Springer Nature. This book was released on 2021-08-25 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many people spend considerable time seeking a sense of purpose in life and, concomitant with that, a sense of personal identity. This book demystifies this search, revealing why this search is a fallacy. The purpose is to inform readers about results in neuroscience and biophysics that may guide us to some liberation needed in the current age of great complexity in life with a diverse burden of chores; a deliverance from some afflictions that prevent individuals from achieving the true purpose of our lives. Among these afflictions we find two primordial concerns: the belief and subsequent attachment to a self, and the conviction that life must have a deep purpose in which we are major players. While this is a scientific text, it can easily be read by a lay audience, written with minimal technical jargon and with references to scientific papers enough to satisfy the curious. We have tried to extract the essence of scientific observations such that we can glimpse at those aforementioned concerns about the self and life, observations which help us comprehend what we are and what we become, the being and becoming of our own selves and natural phenomena around us. Jose Luis Perez Velazquez received a PhD in Molecular Physiology & Biophysics. His research seeks principles of biological organisation. He worked at the Hospital for Sick Children in Toronto and was Professor at the University of Toronto. Currently he is a Research Scholar at the Ronin Institute and lives in the natural paradise of Asturias, in Northern Spain. Vera Nenadovic is a nurse practitioner, neuroscientist and entrepreneur. She has 30 years of experience in healthcare from First Nations communities to intensive care units. Her research focuses on predicting brain injury outcomes. She is a clinician and researcher at Holland Bloorview Kids Rehab Hospital. Her startup company BrainsView is commercializing software that analyzes brainwaves to monitor brain function and recovery after head injury. She is married and lives in Toronto, with her husband and Rottweiler.

Artificial Neural Networks-Icann '97

Author : Wulfram Gerstner
Publisher : Springer Science & Business Media
ISBN 13 : 9783540636311
Total Pages : 1300 pages
Book Rating : 4.6/5 (363 download)

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Book Synopsis Artificial Neural Networks-Icann '97 by : Wulfram Gerstner

Download or read book Artificial Neural Networks-Icann '97 written by Wulfram Gerstner and published by Springer Science & Business Media. This book was released on 1997-09-29 with total page 1300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Content Description #Includes bibliographical references and index.

Gradient Expectations

Author : Keith L. Downing
Publisher : MIT Press
ISBN 13 : 0262545616
Total Pages : 225 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Gradient Expectations by : Keith L. Downing

Download or read book Gradient Expectations written by Keith L. Downing and published by MIT Press. This book was released on 2023-07-18 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI. Prediction is a cognitive advantage like few others, inherently linked to our ability to survive and thrive. Our brains are awash in signals that embody prediction. Can we extend this capability more explicitly into synthetic neural networks to improve the function of AI and enhance its place in our world? Gradient Expectations is a bold effort by Keith L. Downing to map the origins and anatomy of natural and artificial neural networks to explore how, when designed as predictive modules, their components might serve as the basis for the simulated evolution of advanced neural network systems. Downing delves into the known neural architecture of the mammalian brain to illuminate the structure of predictive networks and determine more precisely how the ability to predict might have evolved from more primitive neural circuits. He then surveys past and present computational neural models that leverage predictive mechanisms with biological plausibility, identifying elements, such as gradients, that natural and artificial networks share. Behind well-founded predictions lie gradients, Downing finds, but of a different scope than those that belong to today’s deep learning. Digging into the connections between predictions and gradients, and their manifestation in the brain and neural networks, is one compelling example of how Downing enriches both our understanding of such relationships and their role in strengthening AI tools. Synthesizing critical research in neuroscience, cognitive science, and connectionism, Gradient Expectations offers unique depth and breadth of perspective on predictive neural-network models, including a grasp of predictive neural circuits that enables the integration of computational models of prediction with evolutionary algorithms.

Artificial Neural Networks - ICANN 2001

Author : Georg Dorffner
Publisher : Springer
ISBN 13 : 3540446680
Total Pages : 1248 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Artificial Neural Networks - ICANN 2001 by : Georg Dorffner

Download or read book Artificial Neural Networks - ICANN 2001 written by Georg Dorffner and published by Springer. This book was released on 2003-05-15 with total page 1248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the papers presented at the International Conference on Arti?cial Neural Networks, ICANN 2001, from August 21–25, 2001 at the - enna University of Technology, Austria. The conference is organized by the A- trian Research Institute for Arti?cal Intelligence in cooperation with the Pattern Recognition and Image Processing Group and the Center for Computational - telligence at the Vienna University of Technology. The ICANN conferences were initiated in 1991 and have become the major European meeting in the ?eld of neural networks. From about 300 submitted papers, the program committee selected 171 for publication. Each paper has been reviewed by three program committee m- bers/reviewers. We would like to thank all the members of the program comm- tee and the reviewers for their great e?ort in the reviewing process and helping us to set up a scienti?c program of high quality. In addition, we have invited eight speakers; three of their papers are also included in the proceedings. We would like to thank the European Neural Network Society (ENNS) for their support. We acknowledge the ?nancial support of Austrian Airlines, A- trian Science Foundation (FWF) under the contract SFB 010, Austrian Society ̈ for Arti?cial Intelligence (OGAI), Bank Austria, and the Vienna Convention Bureau. We would like to express our sincere thanks to A. Flexer, W. Horn, K. Hraby, F. Leisch, C. Schittenkopf, and A. Weingessel. The conference and the proceedings would not have been possible without their enormous contri- tion.

The Handbook of Brain Theory and Neural Networks

Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Handbook of Brain Theory and Neural Networks by : Michael A. Arbib

Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).