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A new ARTMAP-based neural network for incremental learning
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DOI：10.1016/j.neucom.2005.06.020.png)
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Abstract
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This paper presents a new approach to incrementally constructing a neural network that is capable of learning new information without forgetting old knowledge. The proposed neural network, called hyper-spherical ARTMAP network (HS-ARTMAP network), is a synthesis of an RBF-network-like module and an ART-like module. The HS-ARTMAP network is trained via a training algorithm similar to the training algorithm for the fuzzy ARTMAP system. To demonstrate the performance of the proposed HS-ARTMAP network, several pattern recognition and function approximation problems were tested. (c) 2006 Elsevier B.V. All rights reserved.
Keywords:
neural networks
incremental learning
ART
ARTMAP
RBF network
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