Both static and dynamic adaptive neural networks have been broadly utilized in mathematical modeling and numerical analysis This study aimed to enhance the accomplishment of Dynamic Neural Networks DNN models by applying wavelet functions as activation functions Research that models and forecasts the intensity of solar radiation in Mataram City shows that combining BSpline and Morlet wavelet activation functions can significantly increase the DNN model perform

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