<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Enhanced conjugate gradient methods for training MLP-networks"^^ . "The paper investigates the enhancement in various conjugate gradient training algorithms applied to a multilayer perceptron (MLP) neural network architecture. The paper investigates seven different conjugate gradient algorithms proposed by different researchers from 1952-2005, the classical batch back propagation, full-memory and memory-less BFGS (Broyden, Fletcher, Goldfarb and Shanno) algorithms. These algorithms are tested in predicting fluid height in two different control tank benchmark problems. Simulations results show that Full-Memory BFGS has overall better performance or less prediction error however it has higher memory usage and longer computational time conjugate gradients. ©2010 IEEE."^^ . "2010" . . . "Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010"^^ . . . . . . . . . . . . . . "V.S."^^ . "Asirvadam"^^ . "V.S. Asirvadam"^^ . . "H."^^ . "Izzeldin"^^ . "H. Izzeldin"^^ . . "N."^^ . "Saad"^^ . "N. Saad"^^ . . . . . "HTML Summary of #980 \n\nEnhanced conjugate gradient methods for training MLP-networks\n\n" . "text/html" . .