Feature Selection for Modular Neural Network Classifiers
Sheng-Uei Guan, Peng Li · Journal of Intelligent Systems · 2002
An N-class problem can be fully decomposed into N-independent small neural networks called modules (or sub-problems) in a modular neural network classifier.Each sub-problem is a two-class ('yes' or 'no') problem.Hence, the optimal input feature space for each module is also likely to be a subset of the original feature space.Therefore, feature selection plays an important role in finding these useful features.Some feature selection techniques have been developed from different perspectives but are not suitable, however, for the two-class problems resulting from complete task decomposition.In this paper, we propose two feature selection techniques-Vol.12, No. 3. 2002 Feature Selection for Modular Neural Network Classifiers