| 基于思维进化机器学习的框架及新进展 |
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| 引用本文： | 孙承意,谢克明.基于思维进化机器学习的框架及新进展[J].太原理工大学学报,1999,30(5):453-457. |
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| 作者姓名： | 孙承意 谢克明 |
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| 作者单位： | 太原理工大学信息工程学院 |
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| 基金项目： | 国家863计划306主题资助 |
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| 摘 要： | 综述了ＭＥＢＭＬ产生的基础，动机以及它的基本原理，特点和新的进展，并指出：ＭＥＢＭＬ有快速学习的能力，适应性好，学习灵活，可应用于黑盒子系统和灰色系统，具有固有的并行性以及解决非数值的能力。
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| 关 键 词： | 遗传算法 机器学习 MEBML 人工智能 |
Mind Evolution Based Machine Learning Framework and New Development |
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| Sun Chengyi,Xie Keming,Cheng Mingqi.Mind Evolution Based Machine Learning Framework and New Development[J].Journal of Taiyuan University of Technology,1999,30(5):453-457. |
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| Authors: | Sun Chengyi Xie Keming Cheng Mingqi |
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| Institution: | College of Information Engineering of TUT |
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| Abstract: | Mind evolution based machine learning,MEBML,is a new learning paradigm which has been proposed recently.MEBML simulates the progress process of human being mind while genetic algorithms simulates evolution process of creature and MEBML has some differences with traditional GAs.MEBML has some characteristics that are fast learning ability,good adaptation,suitable for black box and gray systems,intrinsic parallelism and the ability of solving nonnumeric problem.This paper reviews the foundation and the motivation on which MEBML come into being and the basic principle,characteristics and new development of MEBML. |
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| Keywords: | genetic algorithms evolutionary computation machine learning |
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