author : Patrick K. Simpson

Contents:

1. Introduction
2. Comparing real and artificial neural systems
   • neurons • brain v. computer processing
3. Foundations of artificial neural systems
   • processing elements • threshold • topology • memory • recall and learning • stability and convergence
4. Artificial neural system implementations
5. Artificial neural system paradigms and their applications and implementations
   • unsupervised and supervised learning • feedback and feedforward