Also, the influence on learning convergence from compression mapping in those CMAC models with actual neurons is discussed.
对于存在实际层神经元的CMAC模型，讨论了压缩映射对网络学习收敛性的影响。
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。
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。
This convergence is a huge benefit because it means that the learning curve is easily transferred from one AOP approach to another.
这种聚合有很大的好处，因为这意味着学习曲线很容易从一项AOP技术转移到另外一项AOP技术。
Restults show that the gain, learning rate and momentum are critical for network convergence and stability.
结果表明，网络的增益、学习速率和动量是影响网络收敛和稳定性的关键参数。
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。
For accelerating the algorithm convergence and avoiding the local optimization, an individual learning mechanism is often applied to generic algorithm to improve algorithm performance.
在遗传算法中引入个体学习机制能够提高算法的性能，避免算法收敛过慢或陷入局部最优。
The new algorithm, compared to the BP algorithm, has the fast learning rate and good convergence properties.
该算法有效地改进了神经元网络的学习收敛速度，取得了比常规BP算法更好的收敛性能和学习速度。
Two learning laws with initial state learning and random initial states are proposed, and their convergence and robustness are proved.
讨论了具有初态学习和任意初态两种情况下的迭代学习律的收敛性和鲁棒性问题。
The proposed learning algorithm can reduce the network sensitivity and keep the same convergence speed comparing with traditional learning algorithms.
次种学习算法与传统学习算法相比，可降低网络的灵敏度，但学习收敛速度基本相同。
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。
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。
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 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。
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。
To overcome the nonlinear effects, the discrete learning control strategy is presented. The convergence theorem is also given.
针对多指手爪的非线性影响，提出了一种位置离散学习控制方法，并给出了这种方法的收敛性定理。
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 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。
BP algorithm is the most popular training algorithm for feed forward neural network learning. But falling into local minimum and slow convergence are its drawbacks.
BP算法是前馈神经网络训练中应用最多的算法，但其具有收敛慢和陷入局部极值的严重缺点。
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。
Self-configuring neural network is used because BP neural network has both slow convergence in learning course and poor fault tolerant ability.
鉴于BP网络存在着学习过程收敛速度慢、网络容错能力差的缺点，本文提出一种自构神经网络算法。
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。
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。
应用推荐