Chapter 16 Contents
Overview
Section 16.1: Early Stopping
Section 16.2: Regularization
Section 16.3: Pruning Methods
Section 16.4: Constructive Methods
Section 16.5: Weight Decay
Section 16.6: Information Minimization
Section 16.7: Replicated Networks
Section 16.8: Training with Noisy Data
Section 16.9: Use of Domain-Dependent Prior Information
Section 16.10: Hint Functions
Section 16.11: Knowledge-Based Neural Nets
Section 16.12: Physical Models to Generate Additional Data