Artificial Immune Systems: Fundamentals and Applications
Um þessa rafbók
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.
