Soft Computing: Fundamentals and Applications

· Artificial Intelligence 第 168 冊 · One Billion Knowledgeable
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What Is Soft Computing

The term "soft computing" refers to a collection of computer programming techniques, such as neural networks, fuzzy logic, and evolutionary algorithms.These algorithms can handle imprecision, uncertainty, partial truth, and approximation without causing any problems.It is in contrast to hard computing, which refers to the use of algorithms to find solutions to problems that are both right and optimal.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Soft computing


Chapter 2: Fuzzy logic


Chapter 3: Evolutionary algorithm


Chapter 4: Machine learning


Chapter 5: Computational intelligence


Chapter 6: Fuzzy concept


Chapter 7: Quantum neural network


Chapter 8: Fuzzy mathematics


Chapter 9: Evolving intelligent system


Chapter 10: Adaptive neuro fuzzy inference system


(II) Answering the public top questions about soft computing.


(III) Real world examples for the usage of soft computing in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of soft computing' 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 soft computing.

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