Intelligent Systems for Engineers and Scientists
โ Scribed by Adrian A. Hopgood
- Publisher
- CRC Press
- Year
- 2000
- Tongue
- English
- Leaves
- 15
- Series
- Electronic Engineering Systems
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This updated version of the best-selling Knowledge-Based Systems for Engineers and Scientists embraces both the explicit knowledge-based models retained from the first edition and the implicit numerical models represented by neural networks and optimization algorithms. The title change to Intelligent Systems for Engineers and Scientists reflects its broader scope, incorporating knowledge-based systems, computational intelligence, and their hybrids.Clear and concise, the book shows the issues encountered in the development of applied systems and describes a wide range of intelligent systems techniques. The author describes each technique at the level of detail required to develop intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, Intelligent Systems for Engineers and Scientists provides you with a detailed, up-to-date, and practical guide to solving real problems in science and engineering.This indispensable book provides everything in one volume:Breadth - from knowledge-based systems to computational intelligenceDepth - from introductory concepts to advanced specialist techniquesScope - from principles to practicalities.
๐ SIMILAR VOLUMES
This book provides a remarkably broad view of various AI approaches in practice and their targeted problems. All the math and examples are very short and incomplete but it's obvious that details is not the goal of this book. This book is particularly good to consult when one is trying to pick up the
This updated version of the best-selling Knowledge-Based Systems for Engineers and Scientists (CRC Press, 1993) embraces both the explicit knowledge-based models retained from the first edition and the implicit numerical models represented by neural networks and optimization algorithms. The title ch
This updated version of the best-selling Knowledge-Based Systems for Engineers and Scientists (CRC Press, 1993) embraces both the explicit knowledge-based models retained from the first edition and the implicit numerical models represented by neural networks and optimization algorithms. The title ch