Knowledge-Based Neurocomputing

Rating:
Summary: Excellent for research!
Review: Recommendation:
For graduate students
Basic:
This book is a set of papers about problem solving with Artificial Nueral Networks. So, you have to be well fimiliarized with the Neural Network concept. All these papers shows an approach to solve specific problems when creting an infernce machine related with a data base(Knowledge Base).
Intermediate:
Some knowledge on labeled graphs, and calculus can't be avoid. With this book you can : explore the several knowledge representation, introduce them into an Artificial Neural Network with testing and learning periods, and get the new rules generated once learning period ends.
Advance:
If you are developing an Expert System or a Knowledge-Based system you can't avoid use the Human Expert when you are designig the Knowledge Base. But, the expert would be only needed as a example provider for training and not as rule provider by using these book. So, the Artificial Neural Network works as the rule generator and inference engine.