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Reyni’s Entropy and Mean Square Error for Improving the Convergence of Multilayer Backprobagation Neural Networks : A Comparative Study

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Figure

Table II  Statistics of the Actual Output and Renyi Entropy Error for the last 10
Table VI Comparing Actual Outputs and Errors using Renyi Entropy and Mean
Fig. 1. Comparing the number of Iterations using Renyi’s Entropy for arcTan and Sigmoid activation Functions for different Learning Rates
Fig. 4. Degree of Convergence using Sigmoid and arcTan activation Functions for Renyi Entropy and Learning rate = 0.1
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