Titlebook: VLSI Artificial Neural Networks Engineering; Mohamed I. Elmasry Book 1994 Springer Science+Business Media New York 1994 CMOS.VLSI.analog.a

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A Compact VLSI Implementation of Neural Networks,al and electronic circuitry, it is possible to emulate many neural functions in VLSI [.]. Analog remains potentially advantageous over digital for low-precision processing [.]. Fortunately, ANNs are more tolerant of low-precision components than conventional computation systems. In particular, ANNs

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Minimum Complexity Neural Networks for Classification,character recognition, speech-to-text and text-to-speech systems, and many more. A Pattern is a set of features arranged together in a vector form, capturing information about the sources generating them. For example, a pattern in a medical diagnosis system would contain features such as patient’s w

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Book 1994on. Such networks are capable of recognizing input data from any of the five senses with the necessary accuracy and speed to allow living creatures to survive. Machines which perform such complex tasks as recognition, with similar ac- curacy and speed, were difficult to implement until the technolog