1) fuzzy learning
模糊学习
1.
In this paper, a web page classification with feature selection and fuzzy learning is proposed.
本文提出了一种基于相似度的特征选择算法和适应模糊学习算法来实现分类 。
2.
The design and implementation of a phosphorus removal fuzzy controller with fuzzy learning mechanism are discussed.
文章系统地介绍了具有模糊学习机制的污水脱磷模糊控制器的设计与实现，提出了模糊学习的概念、原理和方法，给出了基于模糊控制表（查询表）的学习算法。
3.
Fuzzy learning vector quantization(FLVQ) algorithm outperforms the hard competitive vector quantization in that it reduces the dependence of the resulting codebook on the initial codebook selection, yet it has the disadvantages of slow convergence and easy to be trapped in local minima.
模糊学习矢量量化算法 (FL VQ)虽然解决了硬的竞争学习对初始码本的依赖性问题 ,但收敛速度变慢 ,且仍无法克服陷入局部最小 。
2) Fuzzy self-learning
模糊自学习
1.
Alming at the tracking control problem of electro-hydraulic servo system,a design method of shding mode var- iable structure control based on fuzzy self-learning for the electro-hydraulic servo system is presented.
针对电液伺服系统的跟踪控制问题,提出了一种基于模糊自学习的滑模变结构控制方案。
3) fuzzy Q-learning
模糊Q学习
1.
Research on multi-robot system based on fuzzy Q-learning;
基于模糊Q学习的多机器人系统研究
4) fuzzy Q learning
模糊Q学习
1.
In order to take full advantage of intelligence and adaptability of agents,dynamic fuzzy knowledgebase and relevant fuzzy Q learning algorithm are designed for the agents.
提出了一种基于Agent的网格资源管理模型,为各类Agent设计了动态模糊知识库,并研究了基于动态模糊知识的模糊Q学习算法。
5) learning from fuzzy examples
模糊示例学习
1.
Study on a method in pulverized coal combustion diagnosis based on learning from fuzzy examples;
一种基于模糊示例学习的煤粉燃烧状态诊断方法的研究
2.
This thesis gave the forecast models of patients survivor life based on learning from fuzzy examples and exponential regression,and got the joint forecast model through optimizing the two kinds of models.
基于模糊示例学习与指数回归理论分别得到患者生存寿命的预测模型,并对2种模型进行优化组合,提出联合预测模型,其预测结果可为患者选择治疗方案提供必要的信息。
3.
We designed a fuzzy model by ID3algor ithm based on learning from fuzzy examples.
基于模糊示例学习,利用模糊ID3算法,提出了蠓虫分类模型。
6) fuzzy competitive learning
模糊竞争学习
1.
An integrated identification of fuzzy model based on fuzzy competitive learning;
基于模糊竞争学习的模糊模型一体化辨识
2.
Fuzzy modeling based on fuzzy competitive learning and matrix UD decomposition;
基于模糊竞争学习和UD分解的模糊建模
3.
Adaptive fuzzy modeling for nonlinear systems based on fuzzy competitive learning;
基于模糊竞争学习的非线性系统自适应模糊建模方法(英文)
补充资料：部分学习与整体学习
部分学习与整体学习
part learning and whole learning
部分学习与整体学习(part learningand whole learning)在运动学习和记忆学习中，根据对学习内容的处理方式可以分成部分学习和整体学习。部分学习就是将材料分成几个部分，每次学习一个部分:整体学习就是每次学习整个材料。一般来讲，整体学习的效果优于部分学习。但是，课题复杂彼此没有意义联系的材料，用部分学习的效果好:课题简短或具有意义联系的材料，用整体学习的效果好。在进行学习时，可以将部分学习与整体学习结合起来，先进行整体学习再进行部分学习，或者相反。这种相互结合的学习方式叫做综合学习，效果更好些。 (周国帕撰成立夫审)
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条