Author: Leandro Nunes de Castro
Edition: 2002
Publisher: Springer
Binding: Paperback
ISBN: 1852335947
Artificial Immune Systems: A New Computational Intelligence Approach
Artificial Immune Systems (AIS) are adaptive systems inspired by the biological immune system and applied to problem solving. Medical books Artificial Immune Systems. This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters. Key features of the book include: - A discussion of AIS in the context of Computational Intelligence; - Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis =B7 An extensive survey of applications; - A framework to help the reader design and understand AIS; - A web site with additional resources including pseudocodes for immune algorithms, and links to related sites Medical books Artificial Immune Systems and Their Applications. 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.
Download link for Artificial immune systems: third international conference, ICARIS 2004, Catania, Sicily, Italy, September 13-16, 2004: proceedings
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, an
Artificial Immune Systems: 4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005, Proceedings (Lecture Notes in ... Computer Science and General Issues): Christian Jacob, Jonathan Timmis, Marcin Pilat, Peter Bentley
16th Italian Workshop on Neural Nets, WIRN 2005, International Workshop on Natural and Artificial Immune Systems, Nais 2005, Vietri Sul Mare, Italy, June 8-11, 2005, Revised Selected Papers | Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg | 2006 | 384 pages | ISBN-13: 9783540331834 | ISBN-10: 3540331832 | You save 20%
Betascript Publishing 9786133073432 Artificial Immune System Description High Quality Content by WIKIPEDIA articles In computer science, Artificial immune systems (AIS) are computational systems inspired by the principles and processes of the vertebrate immune system. The algorithms typically exploit the immune systems characteristics of learning and memory to solve a problem. The field of Artificial Immune Systems (AIS) is concerned with abstracting the structure and function of the immune sys
Medical Book Artificial Immune Systems
This book provides an accessible introduction that will be suitable for anyone who is beginning to study or work in this area. It gives a clear definition of an AIS, sets out the foundations of the topic (including basic algorithms), and analyses how the immune system relates to other biological systems and processes. No prior knowledge of immunology is needed - all the essential background information is covered in the introductory chapters. Key features of the book include: - A discussion of AIS in the context of Computational Intelligence; - Case studies in Autonomous Navigation, Computer Network Security, Job-Shop Scheduling and Data Analysis =B7 An extensive survey of applications; - A framework to help the reader design and understand AIS; - A web site with additional resources including pseudocodes for immune algorithms, and links to related sites. Written primarily for final year undergraduate and postgraduate students studying Artificial Intelligence, Evolutionary and Biologically Inspired Computing, this book will also be of interest to industrial and academic researchers working in related areas.
