Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory Contributor(s): Gupta, Madan (Author), Jin, Liang (Author), Homma, Noriyasu (Author) |
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ISBN: 0471219487 ISBN-13: 9780471219484 Publisher: Wiley-IEEE Press OUR PRICE: $245.05 Product Type: Hardcover - Other Formats Published: April 2003 Annotation: A solid introduction to the concepts and advanced applications of neural networks Since the 1980s, the field of neural networks has undergone exponential growth. Robots in manufacturing, mining, agriculture, space and ocean exploration, and health sciences are just a few examples of the challenging applications where human-like attributes such as cognition and intelligence are playing an important role. Neural networks and related areas such as fuzzy logic and soft-computing in general are also contributing to complex decision-making in such fields as health sciences, management, economics, politics, law, and administration. In the future, robots could evolve into electro-mechanical systems with cognitive skills approaching human intelligence. With a fascinating blend of heuristic concepts and mathematical rigor, Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory outlines the basic concepts behind neural networks and leads the reader onward to more advanced theory and applications. Pedagogically sound and clearly written, this text discusses:
Thoroughly surveying the many-faceted and increasingly influential field of neural networks, this is a valuable reference for both practitioner and student. |
Additional Information |
BISAC Categories: - Computers | Networking - General - Computers | Neural Networks |
Dewey: 006.32 |
LCCN: 2002027426 |
Series: Wiley - IEEE |
Physical Information: 1.56" H x 6.16" W x 9.44" (2.53 lbs) 752 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Neuronale Netze haben sich in vielen Bereichen der Informatik und künstlichen Intelligenz, der Robotik, Proze steuerung und Entscheidungsfindung bewährt. Um solche Netze für immer komplexere Aufgaben entwickeln zu können, benötigen Sie solide Kenntnisse der Theorie statischer und dynamischer neuronaler Netze. Aneignen können Sie sie sich mit diesem Lehrbuch! Alle theoretischen Konzepte sind in anschaulicher Weise mit praktischen Anwendungen verknüpft. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen. |