Article ID Journal Published Year Pages File Type
408361 Neurocomputing 2007 5 Pages PDF
Abstract

This paper presents a new algorithm for on-line artificial neural networks (ANN) training. The network topology is a standard multilayer perceptron (MLP) and the training algorithm is based on the theory of variable structure systems (VSS) and sliding mode control (SMC). The main feature of this novel procedure is the adaptability of the gain (learning rate), which is obtained from sliding mode surface so that system stability is guaranteed.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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