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NEURAL NETWORK LEARNING METHOD, NEURAL NETWORK GENERATION METHOD, LEARNED DEVICE, PORTABLE TERMINAL DEVICE, LEARNING PROCESSING DEVICE, AND COMPUTER PROGRAM

外国特許コード F210010435
整理番号 6414
掲載日 2021年5月14日
出願国 世界知的所有権機関(WIPO)
国際出願番号 2020JP011577
国際公開番号 WO2020196066
国際出願日 令和2年3月17日(2020.3.17)
国際公開日 令和2年10月1日(2020.10.1)
発明の名称 (英語) NEURAL NETWORK LEARNING METHOD, NEURAL NETWORK GENERATION METHOD, LEARNED DEVICE, PORTABLE TERMINAL DEVICE, LEARNING PROCESSING DEVICE, AND COMPUTER PROGRAM
発明の概要(英語) Provides are a neural network learning method, a neural network generation method, a learned device, a portable terminal device, a learning processing device, and a computer program that do not require use of a backward propagation method. The present invention involves: setting neurons in a neural network as random variables each capable of taking two values; expressing connection weights between the respective neurons by using a plurality of synapses each of which has undergone multiplication by a required connection coefficient; setting the plurality of synapses as random variables each capable of taking two values; giving initial data to neurons in an intermediate layer; repeating a process in which sampling based on the Markov chain Monte Carlo method is performed on a conditional probability distribution, under a condition that the random variables of neurons in an input layer and an output layer represent training data values, and the status values of the synapses and the neurons in the intermediate layer are updated; and calculating, on the basis of the updated status values of the respective synapses, the connection weights between the respective neurons.
  • 出願人(英語)
  • ※2012年7月以前掲載分については米国以外のすべての指定国
  • KYOTO UNIVERSITY
  • 発明者(英語)
  • TERAMAE, Junnosuke
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