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| #4847246 in Books | 2000-02-25 | Original language:English | PDF # 1 | 10.00 x1.40 x8.00l,3.04 | File type: PDF | 500 pages||1 of 2 people found the following review helpful.| Excellent for research!|By Guillermo G. Michel-Villazon|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|||Zurada's first volume is arguable the best neural network text ever written. Cloete and Zurada's Knowledge-Based Neurocomputing continues in this tradition of excellence. Clearly and precisely written, this volume belongs in the library of every neuro
Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. Explicit modeling of the know...
You easily download any file type for your device.Knowledge-Based Neurocomputing (MIT Press) | From The MIT Press. Which are the reasons I like to read books. Great story by a great author.
