Egidio Carvalho

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Wavelet functions have been successfully used in many problems as the activation function of feedforward neural networks ZB92],,STK92], PK93]. In this paper, a family of polynomial wavelets generated from powers of sigmoids is described which provides a robust way for designing neural network architectures. It is shown, through experimentation, that(More)
In this paper, we investigate an adaptive genetic algorithm which will be able to identify the best combination of crossover and mutation operators in execution time. The adaptation involves four crossover methods (simple, arithmetical, non-uniform arithmetical and linear) and three mutation mechanism (uniform, non-uniform and creep). We validate the(More)
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