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Inspired by the genetic algorithm (GA) and wavelet neural networks, a novel modified GA algorithm is proposed for finding the optimal number of hidden layer as well as the networks parameters. The efficacy of the proposed algorithm in function approximation is demonstrated through theoretical analysis and experimental results.
Brain Computer Interface (BCI) technology allows a person to control a device by bypassing the use of muscular activity. In previous studies, Signal processing and classification methods play a decisive role in the performance accuracy in BCI application, and there is a current requirement for preliminary analyses to identify the brain signal features best suited for communication. This paper designs...
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