Training a neural network with conjugate gradient methods

This study investigates the use of several variants of conjugate gradient (CG) optimisation and line search methods to accelerate the convergence of an MLP neural network learning two medical signal classification problems. Much of the previous work has been done with artificial problems which have...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Towsey, M., Alpsan, D., Sztriha, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acceleration Artificial neural networks Backpropagation Character generation Convergence Gradient methods Neural networks Optimization methods Pattern classification Search methods
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