Description: 遗传算法
遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology." Platform: |
Size: 303104 |
Author:sunguili |
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Description: 遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology." Platform: |
Size: 307200 |
Author:sunguili |
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Description: This a linear reward algorithm for learning automata in an enviroment with 2 actions-This is a linear reward algorithm for learning automata in an enviroment with 2 actions Platform: |
Size: 1024 |
Author:fati |
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Description: Learning Automata Algorithms
A collection of machine learning programs which contains some of Learning Automata algorithms such as Tsetline, Krinisky, Krylov, LRI, LIP, LRR, LReP, SoftMax, SampleAverage and Random strategy. All of these developed in MATLAB 6.5 Platform: |
Size: 9216 |
Author:Aso |
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Description: The Source Code of A New Technique of edge detection using cellular learning automata and fuzzy systems Platform: |
Size: 7022592 |
Author:saman_come_on |
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Description: A new method to improve the Particle Swarm
Optimization using Cellular Learning Automata
(CLAPSO) Platform: |
Size: 331776 |
Author:mhfff |
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Description: Provide a new routing protocol based Learning Automata for wireless sensor networks (Persian Article) Platform: |
Size: 534528 |
Author:saeed |
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Search - learning automata