Artificial Immune Systems and Their Applications
Published on 13. April 2014
Book
Paperback/Softback
XVII, 306 pages
978-3-642-64174-9 (ISBN)
Description
Artificial immune systems are highly distributed systems based on the principles of the natural system. 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.
More details
Edition
1999 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Professional/practitioner
Illustrations
47 s/w Abbildungen
XVII, 306 p. 47 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
499 gr
ISBN-13
978-3-642-64174-9 (9783642641749)
DOI
10.1007/978-3-642-59901-9
Schweitzer Classification
Other editions
Additional editions
Dipankar Dasgupta
Artificial Immune Systems and Their Applications
E-Book
12/2012
Springer
€53.49
Available for download
Dipankar Dasgupta
Artificial Immune Systems and Their Applications
Book
11/1998
Springer
€85.55
Article exhausted; check different version
Content
An Overview of Artificial Immune Systems and Their Applications.- The Endogenous Double Plasticity of the Immune Network and the Inspiration to be Drawn for Engineering Artifacts.- Artificial Immune Systems: Modeling & Simulation.- The Central and the Peripheral Immune Systems: What is the Relationship?.- Immunology Viewed as the Study of an Autonomous Decentralized System.- Immune Network: An Example of Complex Adaptive Systems.- Immunological Memory is Associative.- Estimating and Predicting the Number of Free HIV and T Cells by Nonlinear Kalman Filter.- Modeling the Effects of Prior Infection on Vaccine Efficacy.- Artificial Immune Systems: Applications.- Jisys: The Development of an Artificial Immune System for Real World Applications.- Decentralized Behavior Arbitration Mechanism for Autonomous Mobile Robot Using Immune Network.- Parallel Search for Multi-Modal Function Optimization with Diversity and Learning of Immune Algorithm.- Immunized Adaptive Critic for an Autonomous Aircraft Control Application.- Blueprint for a Computer Immune System.- An Anomaly Detection Algorithm Inspired by the Immune System.- Immunity-Based Management System for a Semiconductor Production Line.- Indexed Bibliography.- Author Index.