- Shopping Bag ( 0 items )
Neural networks are not computers in any ...
Neural networks are not computers in any traditional sense, and they have little in common with earlier approaches to the problem of fabricating intelligent behavior. Instead, they are information processing systems that are physically modeled after the structure of the brain and that are trained to perform a task rather than programmed like a computer. Neural networks, in fact, provide a tool with problemsolving capabilities - and limitations - strikingly similar to those of animals and people. In particular, they are successful in applications such as speech, vision, robotics, and pattern recognition.
Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It provides a technically accurate, yet down-to-earth discussion of neural networks. No particular mathematical background is necessary; it is written for all interested readers. Naturally Intelligent Systents clearly explains the underlying concepts of key neural network designs, how they are trained, and why they work. It compares their behavior to the natural intelligence found in animals - and people. Throughout, Caudill and Butler bring the field into focus by presenting actual applications that illustrate neural networks'utility in the real world.
Maureen Caudill is President of Adaptics, a neural network consulting company in San Diego and author of the popular "Neural Network Primer" articles that appear regularly in AI Expert. Charles Butler is a Senior Principal Scientist at Physical Sciences in Alexandria, Virginia. He is a specialist in neural network application development. A Bradford Book
Posted February 15, 2001
It is often said that a picture is worth a thousand words. Well, this book chose the thousand-word route in most cases. Neural nets are ideal candidates for illustrations. So, why they decided to use endless descriptions is beyond me. It is like giving directions over the phone when a map would get to the point much faster. It also needed to explain more conceptually how neural nets actually work, not just how they are arranged. Examples where the net matches one-to-one with an actual image or pattern are easy to follow, but how they recognize different variations of patterns (variety) I never got a good feel for from this book. However, the description of an Adeline node was pretty good.Was this review helpful? Yes NoThank you for your feedback. Report this reviewThank you, this review has been flagged.