Artificial Immune Systems: Fundamentals and Applications

¡ Artificial Intelligence āĻŦāχ 23 ¡ One Billion Knowledgeable
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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.

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