Titlebook: Hardware Annealing in Analog VLSI Neurocomputing; Bang W. Lee,Bing J. Sheu Book 1991 Springer Science+Business Media New York 1991 EEPROM.

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0893-3405 ficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capabilities, artificial neural networks can be used to solve many engineering and scientific problems. Due to the optimized data communication structure for artificial intelligence applic

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System Integration for VLSI Neurocomputing, the neurocomputing hardware more powerful, compact and electrically programmable synapses are crucial. Using the programmable neural chip with gain-adjustable neuron and adaptive synapses, reconfigurable neural systems with learning capability can be produced. In addition, hardware annealing can easily be applied to obtain the optimal solutions.

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