[1] ‏ahmad, s. and simonovic, s.p. (2005). an artificial neural network model for generating hydrograph from hydrometeorological parameters, j. hydrol, 315, 236-251. [2] agarwal, a., mishra, s.k., ram, s. and singh, j.k. (2006). simulation of runoff and sediment yield using artificial neural networks, biosys. eng, 94(4), 597-613. [3] amini, m., abbaspour, k.c., khademi, h., fathianpour, n., afy...

In this study a modified entropy-based measure is presented for evaluating the serviceability level of water distribution networks in which the hydraulic uncertainties (flow rates in pipes) as well as the uncertainties due to mechanical parameters (failure probabilities of links) are considered simultaneously. In the proposed entropy calculation method, the connectivity order of the network dem...

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...