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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。
The future research direction of SVM learning algorithms were proposed. 最后指出了学习算法的研究方向。
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。
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。
Secondly, we applied three active learning algorithms Rsm, Rand and QBC to system and implemented them based on RBFNN. 然后把Rsm,Rand,QBC三种自主学习算法应用到RBFNN系统。
Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. 然而，现有的感知器学习演算法无法轻易的对这个函数最佳化。
Abstract: Traditional performance potential-based learning algorithms can obtain optimal policies in MDP problems. 文章摘要: 传统基于性能势的学习算法能获得马尔可夫决策问题的最优策略。
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。
First, we summarize some AMS learning algorithms on Gaussian or finite mixture based on the Bayesian Ying-Yang (BYY) harmony learning principle. 首先，我们综述了基于贝叶斯阴阳机和谐学习原则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。
Designs of the iterative learning algorithms, the most important problems in the ILC, are also studied in this dissertation. 迭代学习算法设计一直是迭代学习控制研究的重点,本文从一些新的视角做了探讨。
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。
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。
When did you begin learning English? 你何时开始学习英语的？
Learning algorithms, in statistical learning theory, can be described as greedy procedures for stagewise minimization of an appropriate cost funcation. 摘要学习理论中，许多学习算法可以描述为一个最小化适当损失函数的贪婪过程。
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。
T. Kondo, 1988, SICE, The learning algorithms of the GMDH neural network and their application to medical image recognition. 陈宏明，2006，大同大学机械工程系所，大同大学硕士论文，结合多项式网路与基因遗传演算法于按键橡胶弹片外型尺寸最佳化。