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This paper proposes a wavelet neural networks (WNN) with self-adaptive learning rate. The algorithm can automatically change the learning rate with operational parameter, but without any artificial adjustments. Thus it once for ado overcomes the drawbacks of WNN, i. e. slow convergence, inability to determine the value of learning rate and easiness to fall into local minimum point. The results of...
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