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Cellular automata --- Dynamics --- Automates cellulaires --- Dynamique --- Matrix Multiplication --- Cellular systolic Arrays --- Petri Nets
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Computer architecture --- Architecture, Computer --- Computer architecture. --- Ordinateurs --- Architecture --- Super Computer --- Systolic Arrays --- Functional Language --- Fault Tolerant --- Dataflow Computation --- Risc --- Network --- Multiprocessing
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Neural networks (NNs) and systolic arrays (SAs) have many similar features. 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. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in
Neural networks (Computer science) --- Systolic array circuits --- Array circuits, Systolic --- Circuits, Systolic array --- Systolic arrays --- Integrated circuits --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Design and construction. --- Very large scale integration --- Wafer-scale integration
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