Computer software is an effective tool for simulating urban rainfall–runoff. In hydrological analyses, the storm water management model (SWMM) widely used throughout world. However, this ineffective parameter calibration and verification owing to complexity associated with monitoring data onsite. present study, general regression neural network (GRNN) predict parameters of catchment directly, w...

This paper presents the application of three main Artificial Neural Networks (ANNs) in damage detection of steel bridges. This method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. The changes in structural response is used to identify the states of structural damage. To circumvent the difficulty arising from the non-linear n...

For a fast and accurate evaluation of the values damaged fragrant pears, prediction method damage degree Korla pears was proposed. To study variation laws damages under different volumes squeezing deformation, partial least squares regression (PLSR), generalised neural network (GRNN) adaptive fuzzy inference system (ANFIS) were chosen to predict establish optimal model. The results demonstrated...

Disinfection by-products (DBPs) formation in water distribution networks (WDNs) is a common type of quality failure. A reliable DBPs modeling can be way to prevent In this study, generalized regression neural network (GRNN)-based models were developed predict the occurrence three unregulated i.e. dichloroacetonitrile (DCAN), trichloropropanone (TCP), and trichloronitromethane (TCNM). Water samp...

Crying is the most noticeable behavior of infancy. Infant cry signals can be used to identify physical or psychological status of an infant. Recently, acoustic analysis of infant cry signal has shown promising results and it has been proven to be an excellent tool to investigate the pathological status of an infant. This paper proposes short-time Fourier transform (STFT) based time-frequency an...