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On-line neural network learning algorithm with exponential convergence rate

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1 Author(s)
Y. Zhao ; Dept. of Electron. Eng., Hangzhou Univ., China

A new on-line learning algorithm for feedforward neural networks is presented. This algorithm is realised by using a technique for minimum tracking of a time-dependent objective function. Theoretical analysis shows that it converges exponentially, and simulations show that it is very effective

Published in:

Electronics Letters  (Volume:32 ,  Issue: 15 )