Three data-driven techniques, namely artificial neural networks, adaptive-network-based fuzzy inference system, and symbolic regression based on genetic programming, are employed for the prediction of bed load transport rates in gravel-bed steep mountainous streams and rivers in Idaho (U.S.A.),...

This paper introduces an adaptive neuro-fuzzy inference system (ANFIS) for financial trading, which learns to predict price movements from training data consisting of intraday tick data sampled at high frequency. The empirical data used in our investigation are five-minute mid-price time series...

Flexibility in manufacturing systems allows the management to actively react to some unexpected market events, allowing them to take advantage from these events, and simultaneously reduce their losses. Flexible systems have greater costs than dedicated ones. Thus, a correct evaluation of this...