Heuristic pattern correction scheme using adaptively trained generalized regression neural networks

In many pattern classification problems, an intelligent neural system is required which can learn the newly encountered but misclassified patterns incrementally, while keeping a good classification performance over the past patterns stored in the network. In the paper, an heuristic pattern correctio...

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Bibliographic Details
Main Authors: Tetsuya Hoya, Jonathon Chambers
Format: Default Article
Published: 2001
Subjects:
Mechanical engineering not elsewhere classified
Generalized regression neural networks (GRNNs)
Incremental learning
Pattern classification
Pattern correction
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/5790
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https://hdl.handle.net/2134/5790

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