Description
Book SynopsisNeural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. This volume introduces some of the methods and techniques used for the verification and validation of neural networks and adaptive systems.
Table of ContentsBackground of the Verification and Validation of Neural Networks.- Augmentation of Current Verification and Validation Practices.- Risk and Hazard Analysis for Neural Network Systems.- Validation of Neural Networks Via Taxonomic Evaluation.- Stability Properties of Neural Networks.- Neural Network Verification.- Neural Network Visualization Techniques.- Rule Extraction as a Formal Method.- Automated Test Generation for Testing Neural Network Systems.- Run-Time Assessment of Neural Network Control Systems.
