Muleta, Misgana; Nicklow, John - In: Water Resources Management 18 (2004) 5, pp. 459-482
Artificial neural networks (ANNs) have become common data driven tools for modeling complex, nonlinear problems in science and engineering. Many previous applications have relied on gradient-based search techniques, such as the back propagation (BP) algorithm, for ANN training. Such techniques,...