Neural network learning apparatus and method

Details Neural network learning apparatus and method Neural network learning apparatus and method

1992-08-06

1994-01-04

MacDonald, Allen R.

395 24, G06F 1518

Patent

active

052767698

ABSTRACT:
A learning apparatus for use in a neural network system which has a plurality of classes representing different meanings. The learning apparatus is provided for learning a number of different patterns, inputted by input vectors, and classified in different classes. The learning apparatus is constructed by a computer and it includes a section for producing a plurality of output vectors representing different classes in response to an input vector, a section for obtaining a first largest output vector of all the output vectors, a section for obtaining a second largest output vector of all the output vectors, and a section for setting predetermined weights to the first and second largest output vectors, respectively, such that the first largest output vector is made larger, and the second largest output vector is made smaller. Furthermore, a section for determining a ratio of the weighted first and second largest output vectors, respectively, is included. If the determined ratio is smaller than a predetermined value, the weighted first and second largest output vectors are further weighted to be made further larger and smaller, respectively.

REFERENCES:
patent: 4914603 (1990-04-01), Wood
patent: 4918618 (1990-04-01), Tomlinson, Jr.
patent: 5058184 (1991-10-01), Fukushima
"Parall distributed Processing", vol. 1, ch-8-, Rumelhart et al, 1986.
"An Introduction to Computing with Neural Nets", Richard P. Lippmann, IEEE ASSP Mag., Apr. 1987.
"Statistical Pattern Recognition with Neural Networds: Benchmarking Studies" by T. Kohonen et al, vol. I, pp. 61-68, Jul. 1988.
"An Introduction to Neural Computing" by T. Kohonen.

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