Author:
Edition: 1
Publisher: Springer
Binding: Hardcover
ISBN: 3540643907
Artificial Immune Systems and Their Applications
Artificial immune systems are highly distributed systems based on the principles of the natural system. Medical books Artificial Immune Systems and Their Applications. This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion. This volume provides an overview of the immune system from the computational viewpoint. It discusses computational models of the immune system and their applications, and provides a wealth of insights on immunological memory and the effects of viruses in immune response Medical books Artificial Immune Systems and Their Applications, 9783540643906. Artificial Immune Systems and Their Applications, ISBN-13: 9783540643906, ISBN-10: 3540643907
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Artificial Immune Systems and Their Applications, ISBN-13: 9783540643906, ISBN-10: 3540643907
This is a pioneering work on the emerging field of artificial immune systems -- highly distributed systems based on the principles of the natural system. Like artificial neural networks, artificial immune systems can learn new information and recall previously learned information. This book provides an overview of artificial immune systems, explaining its applications in areas such as immunological memory, anomaly detection algorithms, and modeling the effects of prior infection on vaccine efficacy. Author: Dasgupta, Dipankar ISBN-10: 3540643904
Berlin: Springer 1998. Hardcover. Very Good. Tightly bound with clean unmarked interior. Very light shelfwear to cover.
Medical Book Artificial Immune Systems and Their Applications
This is a new and rapidly growing field offering powerful and robust information processing capabilities for solving complex problems. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion. This volume provides an overview of the immune system from the computational viewpoint. It discusses computational models of the immune system and their applications, and provides a wealth of insights on immunological memory and the effects of viruses in immune response. It will be of professional interest to scientists, academics, vaccine designers, and practitioners.
