Soft Computing: Fundamentals and Applications
Π ΠΎΠ²ΠΎΡ Π΅-ΠΊΡΠΈΠ·ΠΈ
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.
