MANUFACTURE OF NEURAL NETWORK TYPE DATA PROCESSOR

PURPOSE:To obtain a small and inexpensive neural network type data processor by using a device provided with self-learning capacity and setting the device for which design is decided as the one without providing the self-learning capacity to decide the design of the device which executes desired kin...

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Bibliographic Details
Main Authors NODA ATSUHIKO, MATSUSHIMA KEIICHI, SAKURADA OKIYOSHI
Format Patent
LanguageEnglish
Published 14.04.1992
Subjects
ANALOGUE COMPUTERS
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:PURPOSE:To obtain a small and inexpensive neural network type data processor by using a device provided with self-learning capacity and setting the device for which design is decided as the one without providing the self-learning capacity to decide the design of the device which executes desired kind of data processing. CONSTITUTION:The neural network type data processor is comprised of input terminals 11a-11i, the input layers 20a-20e of an adder circuit comprised of an operational amplifier, the output layers 40a-40d of the adder circuit comprised of the operational amplifier, and output terminals 50a-50d. After each input resistance is decided by sufficient self-learning, the device is manufactured by using a fixed resistor with a decided resistance value. The design of the device adaptive for every kind of data processing can be performed with only one device with the self-learning capacity required for the design of the device. Thereby, the device can be manufactured in small shape and inexpensively.
Bibliography:Application Number: JP19900232582