Learning machine with a hierarchial structure without mutual connections within levels thereof


Ontology type: sgo:Patent     


Patent Info

DATE

1994-03-15T00:00

AUTHORS

Toshiyuki Koda , Yasuharu Shimeki , Shigeo Sakaue , Hiroshi Yamamoto

ABSTRACT

A learning machine has plural multiple-input single-output signal processing circuits connected in a hierarchical structure. The learning machine sets a threshold value, which is a evaluation standard for change in weight coefficients, high during the early part of the learning process and enables rough learning to progress without changing the weight coefficients for those multiple-input single-output signal processing circuits for which errors are sufficiently small. On the other hand, the learning machine gradually reduces the threshold value as learning progresses and advances learning by a non-linear optimization method (including a conjugate gradient method, a linear search method, or a combination of conjugate gradient and linear search methods) during the later part of the learning process, and thereby improves the learning speed. More... »

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