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    • 10. 发明专利
    • LEARNING METHOD OF GRANULAR CELL VALUE, LEARNING DEVICE AND STORAGE MEDIUM
    • JP2002117388A
    • 2002-04-19
    • JP2000306676
    • 2000-10-05
    • RINNAI KKINST NAGOYA IND SCIENCE RES
    • MIWA MASAHIROFURUHASHI TAKESHI
    • G06N3/04G06N3/12
    • PROBLEM TO BE SOLVED: To reduce the number of times of learning of a granular cell value, and to adjust the granular cell value to a proper value in a short time. SOLUTION: This learning device shown in the figure is equipped with a data group input part 22 for inputting plural kinds of variables, a cerebellum model parts 24, 26 equipped with layer models having the granular cell values in every granular cell corresponding to combinations of the plural kinds of variables, an initial condition setting part 23 for setting an initial condition of the cerebellum model parts 24, 26, an addition part 34 for adding in each layer the granular cell values of the granular cells composing the cerebellum model parts 24, 26, a true value input part 38 for inputting the true value to be compared with the added value, a deviation calculation part 36 for calculating the deviation between the added value and the true value, learned granular cell value calculation parts 28, 30 for calculating a learned granular cell value based on the deviation, memories 12, 14 for memorizing the learned granular cell value, learning initial value assigning parts 16, 18 for assigning a weighted mean value of the learned granular cell value before section change corresponding to the duplication ratio of the granular cell before the section change duplicating with the granular cell as a learning initial value of the granular cell after the section change executed by an algorithm processing part 40, and an output part 37 for outputting the added value determined by the addition part 34.