Intelligent Control: Fundamentals and Applications
เจเจธ เจ-เจเจฟเจคเจพเจฌ เจฌเจพเจฐเฉ
The term "intelligent control" refers to a category of control methods that make use of a number of different artificial intelligence computing methodologies, including neural networks, Bayesian probability, fuzzy logic, machine learning, reinforcement learning, evolutionary computation, and genetic algorithms.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Intelligent Control
Chapter 2: Artificial Intelligence
Chapter 3: Machine Learning
Chapter 4: Reinforcement Learning
Chapter 5: Neural Network
Chapter 6: Adaptive Control
Chapter 7: Computational Intelligence
Chapter 8: Outline of Artificial Intelligence
Chapter 9: Machine Learning Control
Chapter 10: Data-driven Model
(II) Answering the public top questions about intelligent control.
(III) Real world examples for the usage of intelligent control in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of intelligent control' 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 intelligent control.
