Neural network with learning function

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395 22, 395 24, G10L 708

Patent

active

052553477

ABSTRACT:
A neural network system capable of performing integrated processing of a plurality of information includes a feature extractor group for extracting a plurality of learning feature data from learning data in a learning mode and a plurality of object feature data from object data to be processed in an execution mode, and an information processing unit for learning features of the learning data, based on the plurality of learning feature data from the feature extractor group and corresponding teacher data in the learning mode, and determining final learning result data from the plurality of object feature data from the feature extractor group in accordance with the learning result, including a logic representing relation between the plurality of object feature data in the execution mode.

REFERENCES:
patent: 4876731 (1989-10-01), Loris et al.
patent: 4941122 (1990-07-01), Weideman
patent: 5040214 (1991-08-01), Grossberg et al.
Rumelhart et al, "Learning Internal Representaitons by Error Propagation," Parallel Distributed Processing, vol. 1, Foundations, Rumelhart and McClelland, eds. MIT Press, Cambridge, Mass. (1986), pp. 318-362.
Lippmann, Richard P., "Pattern Classification Using Neural Networks," IEEE Communications Magazine, Nov., 1989, pp. 47-64.

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