Training a Feed-Forward Neural Network with Artificial Bee Colony based Backpropagation Method

In this study, an artificial neural network method using the back-propagation algorithm was proposed for the prediction of ferric iron precipitation in uranium bioleaching

Method: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication) architecture and an artificial neural network with backpropagation learning

For that purpose, HTS is compared with recently developed metaheuristic opti- mization methods such as artificial bee colony algorithm with adaptive penalty (ABC-AP), self-

In this paper, genetic algorithm based artificial neural network hybrid prediction model is proposed to foretell surface roughness and tool wear.. A multiple

In (Ankita Agarwal 2012), Ankita proposed a method based on Genetic Algorithm (GA) which is used to produce a new encryption method by exploitation the powerful features of

In this paper a practical method of optimizing cutting parameters for electrical discharge machining under the minimum total machining time based on Taguchi method and

In this research, the accuracy of decision trees (DT) (CART algorithm), artificial neural networks (Levenberg-Marquardt back propagation algorithm) and modified

Abstract: This research intends to develop a method based on the Artificial Neural Network (ANN) to predict permanent earthquake-induced deformation of the earth dams and