Floods are one of the most severe and frequent natural calamities. It causes enormous economic damage even leads to higher mortality rates. Studies on detection roads using artificial intelligence (AI) methods gained more attention currently, especially in development smart cities. Therefore, this study designs an optimal Fuzzy Wavelet Neural Network based Road Damage Detection (OFWNN-RDD) tech...

Wind energy is one of the speedy processing technologies in generation industry and most economical methods electrical power generation. For reliability system, it wanted to improve highly appropriate wind speed forecasting methods. The wavelet transform a powerful mathematical technique that converts an analyzed signal into time-frequency representation. This has proven useful nonstationary ti...

A Chaotic neural network model with Morlet wavelet function selffeedback is proposed by introducing Morlet wavelet function into self-feedback of chaotic neural network. The analyses of the optimization mechanism of the networks suggest that Morlet wavelet function self-feedback affects the original Hopfield energy function in the manner of the sum of the multiplications of Morlet wavelet funct...

Forecasting the number of patient visits to hospitals has aroused an increasingly large interest from both theoretic and application perspectives. To enhance the accuracy of forecasting hospital visits, this paper proposes a hybrid approach by coupling wavelet decomposition (WD) and artificial neural network (ANN) under the framework of “decomposition and ensemble”. In this model, the WD is fir...