Finally the key theorem of statistical learning theory based on random rough samples is proved, and the bounds on the rate of uniform convergence of learning process are discussed.
最后证明基于双重随机样本的统计学习理论的关键定理并讨论学习过程一致收敛速度的界。
Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.
支持向量机(SVM)是一种新的通用学习机器，它从结构风险最小化的角度，分析了学习过程的一致性、收敛速度等。
The simulation and motor control show that the new algorithm has fast learning rate, good convergence properties and can overcome the defects of traditional PID algorithm.
仿真实验及在伺服电机转速控制中的应用表明，该算法具有较快的学习速度及良好的收敛性能，并有效地克服了传统PID算法的缺陷。
The results of image edge detection show that the algorithm has better convergence properties than the conventional backpropagation learning technique.
经图像边缘检测应用结果表明，该算法对于加快网络学习的收敛性有着显著成效。
The SVM not only controls the complexity of the machine learning, but also has nice convergence speed and generalizing ability.
这种方法从理论上控制了机器学习的复杂性，同时具有良好的收敛速度和推广能力。
The algorithm can remove redundant link even nodes on the network, through the network learning step dynamic adjustment to avoid convergence speed of.
该算法能够删除掉冗余的连接甚至节点，通过对网络学习步长的动态调整，避免了算法收敛速度过慢和反复震荡的问题。
Based on the model of technology learning and technology importing, this paper studies the internal mechanism of spillover effects of technology on the convergence of economy.
基于技术学习和技术引进的模型分析，本文对技术溢出在区域经济收敛中的作用机制进行了研究。
But if single neuron PID controller designed in terms of BPNN Theory is adopted, the control effect is not satisfactory because the learning rate and speed of convergence are slow.
使用常规pid控制很难满足手指精确位置控制的要求，而采用依据BPNN原理设计成的常规单神经元pid控制器又因学习速率低，收敛速度慢，控制效果不能令人满意。
To improve the learning efficiency and global convergence we present the monotone homotopy method, which has the same convergence as the Newton's method, to train the weights of the network.
为改进网络学习效率及大范围收敛性，提出了网络权值学习的单调同伦方法，该方法具有与牛顿法相同的二阶收敛性。
This paper's main works is that: learning algorithm studies of support vector machine, mathematical model and application about feature selection, convergence analysis of clustering algorithm.
本文主要致力于支持向量机、近似支持向量机的学习算法研究，特征提取的数学模型与算法的改进及其应用，聚类分析算法的收敛性证明。
In this paper, the bounds on the rate of uniform convergence of the learning processes on possibility space are discussed based on the classic Statistical learning Theory.
本文在经典统计学习理论的基础上，讨论了可能性空间上学习过程一致收敛速度的界。
The actual output trajectory of the system achieved better convergence to the desired trajectory by using the iterative learning control algorithm.
利用该算法进行学习控制，使系统的实际输出能更好地收敛于系统的理想输出。
During the self learning process, the adaptive learning rate and momentum gene are introduced to accelerate the rate of convergence and advance the identify accuracy.
在神经网络自学习过程中，引入了自适应学习速率和动量法，加快了网络的收敛速度，提高了网络的辨识精度。
It is confirmed that PSO could overcome intrinsic shortcomings of BP neural network, including low learning efficiency, slow convergence rate, being easy to fall into local minima, etc.
经验证(PSO)优化算法可以有效地克服BP神经网络存在的学习效率低，收敛速度慢以及容易陷入局部极小点等固有缺点。
The Problem of Credit Assignment. Perceptron Learning Rule. Convergence Theorem. Learning by Gradient Following. Online learning.
原因探究、感应机学习规则、收敛定理。梯度跟随学习法、线上学习。
The result shows that RBF networks has very high learning convergence speed and better classifying performance. RBF networks has good practicality in the field of equipment fault diagnosis.
应用结果表明，RBF网络训练速度快、分类性能良好，在设备故障诊断领域具有很好的实用性。
A theoretical consideration to estimate the convergence conditions in learning control process is proposed in accordance with the limit condition of a geometric series.
并提出了一种基于几何级数的极限条件估计学习控制过程收敛条件的理论方法。
The new algorithm can cut down the redundant state information, so that the composition intensity of learning space is decreased and the convergence of the learning course is accelerated.
这种方法可以削减学习哈尔滨工程大学博士学位论文单元的冗余状态信息，降低学习空间的组合强度，加快群体强化学习算法的学习速度。
On the basis of theoretical analysis, the cooperative game reinforcement learning method is proposed and its convergence is proved.
在理论分析的基础上，提出了协同博弈的强化学习算法，并证明了算法的收敛性。
A periodic mixed adaptive law and an adaptive repetitive learning control one are constructed to ensure the asymptotic convergence of the tracking error in the sense of square error norm.
通过引入参数周期自适应律，设计出的自适应控制策略，使跟踪误差平方在一个周期上的积分范数渐近收敛于零。
A reasonable normalization method is made certain by the normalization principle and the data of construction. This method increases the learning efficiency and the rate of convergence of the network.
针对施工数据，根据数据归一化的原则，确定了一个比较合理的归一化方法，提高了网络学习的效率和网络收敛的速度。
A theoretical method which estimates the convergence condition of the learning control process based o...
提出了一种基于几何级数的极限条件估计学习控制过程收敛条件的方法。
Reinforcement learning is an important machine learning method. However, slow convergence has been one of main problem in practice.
强化学习是一种重要的机器学习方法，然而在实际应用中，收敛速度缓慢是其主要不足之一。
It is necessary to hit accurately the head of the strip for applying absolute AGC in hot rolling mill, important means are to improve accuracy of set-up model and convergence of self-learning model.
带钢热连轧精轧机组穿带后的头部厚度精度- - -头部命中率将直接影响绝对AGC的工作，其重要手段是靠提高设定模型精度、模型自学习的收敛速度。
Q-learning is a typical Reinforcement Learning (RL) method with a slow convergence speed especially as the scales of the state space and action space increase.
学习是一种典型的强化学习，其学习效率较低，尤其是当状态空间和决策空间较大时。
The effects of neural network parameters including gain, learning rate, and momentum on network convergence and DPV computation results have been investigated.
详细地讨论了增益、学习速率、动量等网络参数对神经网络收敛速度和导数脉冲伏安法计算结果的影响。
CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.
小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。
Using this algorithm, an adaptive learning controlling value is established according to the recent convergence error and its rate of change.
并针对某些学习应用提出了一种两阶段自适应控制逐一训练算法。
Using this algorithm, an adaptive learning controlling value is established according to the recent convergence error and its rate of change.
并针对某些学习应用提出了一种两阶段自适应控制逐一训练算法。
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