ART2/BP architecture for adaptive estimation of dynamic processes

Part of Advances in Neural Information Processing Systems 3 (NIPS 1990)

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Einar Sørheim


The goal has been to construct a supervised artificial neural network that learns incrementally an unknown mapping. As a result a network con(cid:173) sisting of a combination of ART2 and backpropagation is proposed and is called an "ART2/BP" network. The ART2 network is used to build and focus a supervised backpropagation network. The ART2/BP network has the advantage of being able to dynamically expand itself in response to input patterns containing new information. Simulation results show that the ART2/BP network outperforms a classical maximum likelihood method for the estimation of a discrete dynamic and nonlinear transfer function.