Soft Computing: Fundamentals and Applications

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.