Database Selection and Feature Extraction for Neural Networks

Bin Zheng 1 Introduction 311

University of Pittsburgh 1.1 Artificial Neural Networks • 1.2 Bayesian Belief Networks • 1.3 Comparison Between Artificial

Neural Networks and Bayesian Belief Networks

2 Database Selection 314

2.1 Effect of Case Difficulty • 2.2 Adequacy of Training Samples • 2.3 Effect of Validation Methods

3 Feature Selection 316

3.1 Direct Measurement of Feature Characteristics • 3.2 Permutation and Progressive Roundoff Approach • 3.3 Stepwise Feature Selection • 3.4 Genetic Algorithm Approach

4 Summary 321

References 321

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