Study on feature weight and feature selection in pattern classification neural networks

Ruiping Li, Masao Mukaidono, I.B. Turksen · 2002

Pattern recognition have two major topics: 1) pattern classification; and 2) feature selection. Study on the later is seldom been found from published papers. This paper considers these two problems at the same time. We design an artificial neural network for pattern classification and feature selection. We also introduce our design thought in detailed. Two examples are used to illustrate our approach.

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