Neural Computing - An IntroductionNeural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists. |
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Common terms and phrases
active adaptive ART network associative memory autoassociative basic behaviour binary biological bits set Boltzmann machine brain cells class pattern classification comparison vector complex connected consider content-addressable memory decision boundary define dendrite discussed distributed energy function error Euclidean distance example feedforward feedforward weight generalisation set gradient descent Grossberg Hamming distance hidden units Hopfield net Hopfield network implementation initialised input layer input pattern input vector known Kohonen learning algorithm learning rule linear classifier machine mathematical matrix means minima multilayer perceptron n-tuple neural computing neural networks neuron non-linear number of bits optical output layer output unit parallel pattern recognition pattern space performance phase phonemes produce random recall recognition layer represent response self-organising shown in figure simple solution sparse coding storage synapse techniques term tion training cycle training data training set tuple vigilance threshold weight values weight vector weighted sum whilst Willshaw winning node zero
References to this book
Bounded Rationality in Macroeconomics: The Arne Ryde Memorial Lectures Thomas J. Sargent No preview available - 1993 |
Connectionist Speech Recognition: A Hybrid Approach Hervé A. Bourlard,Nelson Morgan Limited preview - 1994 |