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Messy Genetic Algorithm Based New Learning Method for Structurally Optimised Neurofuzzy Controllers

机译：基于混沌遗传算法的结构优化神经模糊控制器新学习方法

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M. Munir-ul M. Chowdhury; M. Chowdhury; Yun Li;
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年度 1996
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2. Developing soft sensors using hybrid soft computing methodology: a neurofuzzy system based on rough set theory and genetic algorithms [J] . Luo JX, Shao HH Soft computing: A fusion of foundations, methodologies and applications . 2006,第1期

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3. Multi Population Pattern Searching Algorithm: A New Evolutionary Method Based on the Idea of Messy Genetic Algorithm [J] . Kwasnicka H., Przewozniczek M. Evolutionary Computation, IEEE Transactions on . 2011,第5期

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4. Messy genetic algorithm based new learning method for structurally optimised neurofuzzy controllers [C] . Munir-ul, M., Chowdhury, Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on . 1996

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6. Real-Time Model-Free Minimum-Seeking Autotuning Method for Unmanned Aerial Vehicle Controllers Based on Fibonacci-Search Algorithm [O] . Wojciech Giernacki, Dariusz Horla, Tomáš Báča, 2019

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Messy Genetic Algorithm Based New Learning Method for Structurally Optimised Neurofuzzy Controllers

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