Search Results for Feedback - Narrowed by: Neural networks (Computer science)

Brain-mind machinery [electronic resource] : brain-inspired computing and mind opening / Gee-Wah Ng.

2024-05-19T00:58:32Z

by Ng, G. W. (Gee Wah), 1964-
Call Number 006.32 22
Publication Date 2009
Format: Electronic Resources
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Neural nets and chaotic carriers [electronic resource] / Peter Whittle.

2024-05-19T00:58:32Z

by Whittle, Peter, 1927-
Call Number 006.32 22
Publication Date 2010
Summary Neural Nets and Chaotic Carriers develops rational principles for the design of associative memories, with a view to applying these principles to models with irregularly oscillatory operation so evident in biological neural systems, and necessitated by the meaninglessness of absolute signal levels. Design is based on the criterion that an associative memory must be able to cope with "fading data", i.e., to form an inference from the data even as its memory of that data degrades. The resultant net shows striking biological parallels. When these principles are combined with the Freeman specification of a neural oscillator, some remarkable effects emerge. For example, the commonly-observed phenomenon of neuronal bursting appears, with gamma-range oscillation modulated by a low-frequency square-wave oscillation (the "escapement oscillation"). Bridging studies and new results of artificial and biological neural networks, the book has a strong research character. It is, on the other hand, accessible to non-specialists for its concise exposition on the basics.
Format: Electronic Resources
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Fuzzy neural network theory and application [electronic resource] / Puyin Liu, Hongxing Li.

2024-05-19T00:58:32Z

by Liu, Puyin.
Call Number 006.32 22
Publication Date 2004
Summary This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to he.
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Computational ecology [electronic resource] : artificial neural networks and their applications / Wenjun Zhang.

2024-05-19T00:58:32Z

by Zhang, Wenjun.
Call Number 577.0285 22
Publication Date 2010
Summary Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists in recent years. As these networks are increasingly being used in ecology for modeling, simulation, function approximation, prediction, classification and data mining, this unique and self-contained book will be the first comprehensive treatment of this subject, by providing readers with overall and in-depth knowledge on algorithms, programs, and applications of ANNs in ecology. Moreover, a new area of ecology, i.e., computational ecology, is proposed and its scopes and objectives are defined and discussed. Computational Ecology consists of two parts : the first describes the methods and algorithms of ANNs, interpretability and mathematical generalization of neural networks, Matlab neural network toolkit, etc., while the second provides case studies of applications of ANNs in ecology, Matlab codes, and comparisons of ANNs with conventional methods. This publication will be a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of ecology, environmental sciences, and computational science.
Format: Electronic Resources
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