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Title:
摂動学習装置とその方法
Document Type and Number:
Japanese Patent JP6655032
Kind Code:
B2
Abstract:
PROBLEM TO BE SOLVED: To provide a perturbation learning device capable of processing a weight learning at fast speed.SOLUTION: A perturbation learning device includes: a branching unit 10 that outputs not-to-be-learned data X acquired by branching, element by element, learning data containing n number of elements, and to-be-learned data Xacquired by branching, element by element, from the header of the learning data by m times for each j pieces; a weight computing unit 20 that calculates pieces of weight learning data Dto Dby multiplying each element of the not-to-be-learned data X by a corresponding weight coefficient; a perturbation learning unit 30 that calculates j pieces of perturbation weight learning data by multiplying the to-be-learned data Xby a corresponding perturbation weight coefficient; a second branching unit 40 that branches each piece of the weight learning data into j+1 pieces; a coupling unit 50 that calculates a first output value O summing all pieces of the weight learning data branched into j+1 pieces, and j number of second output values Oδacquired by substituting any one of the j+1 pieces of weight learning data by the perturbation weight learning data corresponding to such weight learning data; and a learning unit 60 that repeats a calculation of updating each weight coefficient for each j piece by a unit of m times.SELECTED DRAWING: Figure 1

Inventors:
Konitoshi Shiori
Akihiro Kono
Soichi Oka
Application Number:
JP2017006062A
Publication Date:
February 26, 2020
Filing Date:
January 17, 2017
Export Citation:
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Assignee:
Nippon Telegraph and Telephone Corporation
International Classes:
G06N3/067
Domestic Patent References:
JP10049509A
JP2018097407A
Other References:
前田 裕ほか,摂動を用いたリカンレントニューラルネットワークの学習則とニューロ制御への応用,電気学会論文誌C,社団法人電気学会,1993年 6月20日,Vol.113-C No.6,P402-P408
Attorney, Agent or Firm:
Hidekazu Miyoshi
Rie Kudo



 
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