Method for training a neural network with the non-deterministic

Details Method for training a neural network with the non-deterministic Method for training a neural network with the non-deterministic

1996-08-30

1998-09-08

MacDonald, Allen R.

Data processing: artificial intelligence

Neural network

Learning task

706 22, 706 23, 706 25, G06F 1518

Patent

active

058060537

ABSTRACT:
In a method for tranining a neural network with the non-deterministic behavior of a technical system, weightings for the neurons of the neural network are set during the training using a cost function. The cost function evaluates a beneficial system behavior of the technical system to be modeled, and thereby intensifies or increases the weighting settings which contribute to the beneficial system behavior, and attenuates or minimizes weightings which produce a non-beneficial behavior. Arbitrary or random disturbances are generated by disturbing the manipulated variable with noise having a known noise distribution, these random disturbances significantly faciliating the mathematical processing of the weightings which are set, because the terms required for that purpose are simplified. The correct weighting setting for the neural network is thus found on the basis of a statistical method and the application of a cost function to the values emitted by the technical system or its model.

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Xianzhong Cui, and Kang G. shin, "Direct Control and Coordination Using Neural Networks" IEEE Transactions on Systems, Man, and Cybernetics, vol. 23, Issue 3, May 1993.
Shynk et al.; "A Stochastic training model for perception algorithms", IJCNN-91-Seattle; pp. 779-784 vol. 1, Jul. 1991.
"Direct Control and Coordination Using Neural Networks," Cui et al, IEEE Trans. on Systems, Man and Cybernetics, vol. 23, No. 3, May/Jun. 1993, pp. 686-697.

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