In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased expert system (RES) with web-b...
A novel type of higher order pipelined neural network, the polynomial pipelined neural network, is presented. The network is constructed from a number of higher order neural networ...
Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lis...
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Planing the operation in modern power systems requires suitable anticipation of load evolution at different levels of distribution network. Under this perspective, load forecasting...