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Artificial Immune Systems And Their Applications


Artificial Immune Systems And Their Applications
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Artificial Immune Systems And Their Applications


Artificial Immune Systems And Their Applications
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Author : Dipankar Dasgupta
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Artificial Immune Systems And Their Applications written by Dipankar Dasgupta and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


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.



Artificial Immune Systems A New Computational Intelligence Approach


Artificial Immune Systems A New Computational Intelligence Approach
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Author : Leandro Nunes de Castro
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-09-23

Artificial Immune Systems A New Computational Intelligence Approach written by Leandro Nunes de Castro and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-23 with Computers categories.


Artificial Immune Systems (AIS) are adaptive systems inspired by the biological immune system and applied to problem solving. 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.



Machine Learning Paradigms


Machine Learning Paradigms
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Author : Dionisios N. Sotiropoulos
language : en
Publisher: Springer
Release Date : 2016-10-26

Machine Learning Paradigms written by Dionisios N. Sotiropoulos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-26 with Technology & Engineering categories.


The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core mechanism behind the implementation of Recommender Systems. The book will be useful to researchers, practitioners and graduate students dealing with Pattern Recognition and Machine Learning and their applications in Personalized Software and Recommender Systems. It is intended for both the expert/researcher in these fields, as well as for the general reader in the field of Computational Intelligence and, more generally, Computer Science who wishes to learn more about the field of Intelligent Computing Systems and its applications. An extensive list of bibliographic references at the end of each chapter guides the reader to probe further into application area of interest to him/her.



Artificial Immune Systems


Artificial Immune Systems
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-06-22

Artificial Immune Systems written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-22 with Computers categories.


What Is Artificial Immune Systems In the field of artificial intelligence, artificial immune systems (AIS) are a classification of rule-based, computationally intelligent machine learning systems that take their cues from the fundamentals and procedures of the immune system of vertebrates. When it comes to finding solutions to problems, algorithms are frequently based after the learning and memory capabilities of the immune system. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Artificial immune system Chapter 2: Immunology Chapter 3: Adaptive immune system Chapter 4: Computational immunology Chapter 5: Clonal selection algorithm Chapter 6: Immune network theory Chapter 7: Evolutionary computation Chapter 8: Bio-inspired computing Chapter 9: Glossary of artificial intelligence Chapter 10: Rule-based machine learning (II) Answering the public top questions about artificial immune systems. (III) Real world examples for the usage of artificial immune systems in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of artificial immune systems' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of artificial immune systems.



Artificial Immune Systems


Artificial Immune Systems
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Author : Christian Jacob
language : en
Publisher: Springer
Release Date : 2005-08-31

Artificial Immune Systems written by Christian Jacob and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-31 with Computers categories.


This book constitutes the refereed proceedings of the 4th International Conference on Artificial Immune Systems, ICARIS 2005, held in Banff, Alberta, Canada, in August 2005. The 37 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on conceptual, formal, and theoretical frameworks, immunoinformatics, theoretical and experimental studies on artificial immune systems, and applications of artificial immune systems.



Artificial Immune Systems


Artificial Immune Systems
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Author : Giuseppe Nicosia
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-07

Artificial Immune Systems written by Giuseppe Nicosia and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-07 with Computers categories.


This book constitutes the refereed proceedings of the Third International Conference on Artificial Immune Systems, ICARIS 2004, held in Catania, Sicily, Italy, in September 2004. The 34 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on applications of artificial immune systems; conceptual, formal, and theoretical frameworks; artificial immune systems for robotics; emerging metaphors; immunoinformatics; theoretical and experimental studies; future applications; networks; modeling; and distinguishing properties of artificial immune systems.



Handbook Of Research On Artificial Immune Systems And Natural Computing Applying Complex Adaptive Technologies


Handbook Of Research On Artificial Immune Systems And Natural Computing Applying Complex Adaptive Technologies
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Author : Mo, Hongwei
language : en
Publisher: IGI Global
Release Date : 2009-04-30

Handbook Of Research On Artificial Immune Systems And Natural Computing Applying Complex Adaptive Technologies written by Mo, Hongwei and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-30 with Computers categories.


"This book offers new ideas and recent developments in Natural Computing, especially on artificial immune systems"--Provided by publisher.



Immunological Computation


Immunological Computation
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Author : Dipankar Dasgupta
language : en
Publisher: CRC Press
Release Date : 2008-09-12

Immunological Computation written by Dipankar Dasgupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-12 with Computers categories.


Clearly, nature has been very effective in creating organisms that are capable of protecting themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The powerful information-processing capabilities of the immune system, such as feature extraction, pattern recognition, learning, memory, and its distributive nature prov



Artificial Immune System


Artificial Immune System
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Author : Ying Tan
language : en
Publisher: John Wiley & Sons
Release Date : 2016-06-30

Artificial Immune System written by Ying Tan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-30 with Computers categories.


This book deals with malware detection in terms of Artificial Immune System (AIS), and presents a number of AIS models and immune-based feature extraction approaches as well as their applications in computer security Covers all of the current achievements in computer security based on immune principles, which were obtained by the Computational Intelligence Laboratory of Peking University, China Includes state-of-the-art information on designing and developing artificial immune systems (AIS) and AIS-based solutions to computer security issues Presents new concepts such as immune danger theory, immune concentration, and class-wise information gain (CIG)



Immunocomputing


Immunocomputing
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Author : Alexander O. Tarakanov
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Immunocomputing written by Alexander O. Tarakanov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.


Overview This book introduces immunocomputing (Ie) as a new computing approach that replicates the principles of information processing by proteins and immune networks. It establishes a rigorous mathematical basis for IC, consistent with recent findings in immunology, and it presents various applications of IC to specific computationally intensive real-life problems. The hardware implementation aspects of the IC concept in an immunocomputer as a new kind of computing medium and its potential connections with modem biological microchips (biochips) and future biomolecular computers (biocomputers) are also discussed. All biological systems at the cellular and biomolecular levels are sophisticated mechanisms honed to perfection by millions of years of evolution, and their exploration provides inspiration for various novel concepts in science and engineering. Of these systems, however, only two types, the neural system and the immune system of the vertebrates, possess the extraordinary capabilities of "intellectual" information processing, which include memory, the ability to learn, to recognize, and to make decisions with respect to unknown situations. The potential of the natural neural system as a biological prototype of a computing scheme has already been utilized intensively in computer science through the mathematical and software models of artificial neural networks (ANN) and their hardware implementation in neural computers (see, e.g., Haykin, 1999; Wasserman, 1990).