Genetic Algorithms and Applications Yang Xiangbo, South China Normal University
Total of 8 lessons2 hours and 59 minutes and 24 seconds
There are many kinds of intelligent phenomena in nature, such as the cognitive process of the human brain, bird migration, and lions foraging. So can machines be programmed to imitate the thought processes of these animals? The answer is yes, and this technology that uses programs to simulate natural phenomena in nature to serve the control process is intelligent control technology. It mainly talks about expert control, fuzzy control, artificial neural network control, genetic algorithm, and teaches MATLAB programming and SIMULINK knowledge to realize the above knowledge.
Total of 56 lessons10 hours and 28 minutes and 53 seconds
Intelligent controls refer to automatic control technology that can autonomously drive intelligent machines to achieve control goals without human intervention. The development of control theory has a history of more than 100 years. It has gone through the development stages of "classical control theory" and "modern control theory" and has entered the stage of "large system theory" and "intelligent control theory". This video talks about neural networks, fuzzy mathematics and fuzzy control, and intelligent optimization algorithms. Humanoid intelligent control
Total of 64 lessons22 hours and 32 minutes and 42 seconds
Main content: definition of artificial intelligence, tree search algorithm, information-free search strategy, heuristic search strategy, constraint satisfaction problem solving, game algorithm, Bayesian network, hidden Markov model, Kalman filter. Features: The teaching time of artificial intelligence courses in the school is 32 hours. It is a required professional course for master's students in computer science and technology. Since the basic theory of artificial intelligence involves intelligent search, reasoning, machine learning, etc., it is an essential theoretical foundation for various research directions of current information graduate students, and can lay a good foundation for students to conduct in-depth research in various directions. The ideas can be applied to pattern recognition, intelligent analysis and processing of images and videos, data mining and intelligent processing applications of various information. Since the course teaching focuses on the description of algorithms, students will not find it boring and can master intelligent ideas well through practical exercises combined with programming.
Total of 40 lessons8 hours and 47 minutes and 20 seconds
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