Learning method and apparatus

Pulse or digital communications – Repeaters – Testing

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375 61, 375 76, 375900, G06F 1518, G06F 944

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active

054637180

ABSTRACT:
In a learning method, training data and verification data each including a set of input and output values are taken as teacher data, and a change of an error between an output value calculated by use of the input data of the verification data and the output value of the verification data and a change of an error between an output value calculated by use of the input value of the training data and the output value of the training data are simultaneously displayed, thereby preventing an overlearning and reducing the number of times of learning. Also in the learning method, fuzzy knowledge data is inputted and displayed, a range of the object of learning is interactively designated from among the displayed fuzzy knowledge, and a learning is made on the basis of a predetermined learning algorithm to change the fuzzy knowledge in the designated range, thereby performing the learning of a fuzzy knowledge with a user's intention reflected.

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Nakajima, "Architecture of the Neurol Network Simulation Accelerator Neurosim 12", Int'l Neur Net Conf, Jul. 9-13, 1990 pp.722-725 vol. 2.
Maeda et al. "Self-Tuning Fuzzy Controller," Proceedings of the Society of Instrument and Control Engineers, vol. 24, No. 2, 1984, pp. 191-197. (provided in Japanese).
Kaneko et al. "Expert System for Investment based on Fuzzy Reasoning," Journal of Information Processing Society of Japan, vol. 30, No. 8, Aug. 1989, pp. 963-969. (provided in Japanese).
Maeda et al. "A Fast Learning Algorithm for Fuzzy Membership Functions," Symposium on Micro-Work Stations, Information Processing Society of Japan, vol. 66-5, May 1991, pp. 1-8. (provided in Japanese).

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