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- Fuzzy learning algorithm 模糊学习算法
- The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed. 本文分析了模糊矢量量化(FVQ)图像编码的原理，提出了一种指数型模糊学习矢量量化算法(EFLVQ)。
- Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems，and develops a new learning algorithm. 基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
- When we play chess, do we use a learning algorithm or brute force. 当我们玩西洋象棋的时候,我们使用学问运算法则或暴力吗。
- The paper presents the research of learning algorithm of FNN. 摘要对模糊神经网络的学习方法进行了研究。
- In order to speed up the convergence of the learning algorithm, genetic algorithm was incorporated into the fuzzy neural network with IEC, Experimental results indicate the success of our approach here. 实验结果表明，当该算法应用于训练虚拟角色面部表情这一问题时，能在保证精度的前提下快速收敛，并能避免陷入局部最优，从而使得不同的动画导演利用这个系统，能够生成符合自己要求的虚拟面部表情。
- Fuzzy rules of bearing fault diagnosis are summa rized and maped into fuzzy neural network, which improves intelligence of bearing diagnosis.Part-layer learning algorithm is presented. 总结了轴承故障诊断的模糊规则，并把这些规则映射到模糊神经网络，提高了诊断的智能性。
- BVM(Ball Vector Machine)is a faster machine learning algorithm than SVM. 球向量机是一种比SVM更快的机器学习方法。
- This paper discusses briefly se veral fundamental problems of fuzzy systems, including fuzzy recognition, fuzzy learning, fuzzy retrieve and fuzzy decision-making. 本文概要讨论模糊系统的若干问题，包括模糊识别、模糊学习、模糊检索以及模糊决策等。
- Observational Learning Algorithm (OLA) is an ensemble method based on social learning theory. 观察学习是一种基于社会学习理论的集成学习方法，以往对其研究集中于同构模式。
- fuzzy competitive learning algorithm 模糊竞争学习
- A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed. 摘要提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
- We then describe an entropy penalized AMS learning algorithm on Gaussian mixture. 然后，我们描述了另一种基于熵惩罚的自动模型选择学习算法。
- GGAP-RBF is a sequential learning algorithm so that model can be established dynamically. 该网络的学习算法是串行的,可以进行动态建模。
- Simulation shows that the learning algorithm has a fast convergence speed and good stability. 仿真表明，该学习算法收敛速度快、稳定性好。
- Fuzzy Learning Control for Robot 机器人模糊学习控制
- The combinational equivalence check methods based on recursive learning algorithm are discussed. 并讨论了基于递归学习的组合电路等价性检验方法；
- NNM can use many learning algorithm .In this paper , it use the modified BP algorithm which proposed by the author . NNM可以采用许多学习算法,前已提及本文中采用作者提出的改进BP算法。
- The future research direction of SVM learning algorithms were proposed. 最后指出了学习算法的研究方向。
- A new algorithm called gene learning algorithm(GL) which is developed from PBIL and selfish algorithm, is presented. 在PBIL算法及自私基因算法的基础上，提出了一个适应性更广、搜索能力更强的优化搜索算法。
