Abstract:Biological brain involves chaos and the structure of artificial neural networks (ANNs) is similar to human brain. In order to imitate the structure and the function of human brain better, it is more logical to combine chaos with neural networks.
In this paper we proposed a chaotic learning algorithm called Maximized Gradient function and Modulated Chaos (MGMC). MGMC maximizes the gradient function and also added a modulated version of chaos in learning rate (LR) as well as in activation function. Activation fu… Show more
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