Data processing: artificial intelligence – Neural network – Learning method
Patent
1997-05-29
2000-05-23
Hafiz, Tariq R.
Data processing: artificial intelligence
Neural network
Learning method
706 15, 706 25, 706 27, G06E 100
Patent
active
060675365
ABSTRACT:
A neural network circuit for performing a processing of recognizing voices, images and the like comprises a weight memory for holding a lot of weight values (initial weight values) which correspond to a plurality of input terminals of each of a plurality of neurons forming a neural network and have been initially learned, and a difference value memory for storing difference values between the weight values of the weight memory and additionally learned weight values. The weight memory is formed by a ROM. The difference value memory is formed by a SRAM, for example. During operation of recognizing input data, the initial weight values of the weight memory and the difference values of the difference value memory are added together. The added weight values are used to calculate an output value of each neuron of an output layer. Accordingly, the initial weight values can be additionally learned at a high speed by existence of the difference value memory having a small capacity. Thus, new numerals, characters and the like can be recognized well without error.
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Fukuda Masaru
Maruyama Masakatsu
Nakahira Hiroyuki
Sakiyama Shiro
Hafiz Tariq R.
Matsushita Electric - Industrial Co., Ltd.
Starks, Jr. Wilbert L.
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