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This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm. 因此，作者将非线性规划的平行切线算法用于神经网络的权值学习，提出了一种具有快速学习算法的神经网络。
RBF(radial basis function) has the advantages of fast learning, not easily getting in the local minimum, so as to more attentions and more applications instead of BP learning algorithm. 径向基函数(radial basis function，简称RBF)神经网络作为人工神经网络的一种，以其牢固的插值理论为基础，并且具有学习速度快、不易陷入局部极小等优点，逐步取代反向传播(back propagation，简称BP)学习算法在模式识别领域中得到越来越广泛的关注和应用。
In this paper, a fast learning algorithm of forward neural net work adopting parallel tangents is presented in which the learning rate is searched for in one dimension by curve fitting method. 提出一种基于平行切线的前向神经网络快速学习算法,学习速率采用曲线拟合法进行一维搜索。
A FAST LEARNING ALGORITHM OF NEURAL NETWORKS FOR APPROXIMATING FUNCTION 函数逼近神经网络的一种快速学习算法
STUDY OF FAST LEARNING ALGORITHM FORNEURAL NETWORKS BASE ON CGM-OC APPROACH 基于正交校正共轭梯度法的快速神经网络学习算法研究
Study on Fast Learning Algorithm of Legendre Basis Function Neural Network 勒让德基函数神经网络快速学习算法研究
SECOND ORDER FAST LEARNING ALGORITHM OF BP NEURAL NETWORK VIA PID CONTROL BP网络的PID型二阶快速学习算法
Fast learning algorithm with progressive transductive support vector machine 一种快速的渐进直推式支持向量机分类学习算法
STUDY OF FAST LEARNING ALGORITHM FOR NEURAL NETWORKS BASE ON CGM-OC APPROACH 基于正交校正共轭梯度法的快速神经网络学习算法研究
A Neural work with Fast Learning Algorithm and Its Application to System Identification 具有快速学习算法的神经网络及其在系统辨识中的应用
A fast learning algorithm of feedforward neural networks and its application to system identification 前馈神经网络快速算法及其应用
Fast learning ability, strong sense of responsibity. 学习能力强,有较强的责任感;
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。
Am a fast learner and quick to understand. 学什麼一学就会,一点就通。
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。
A fast learning hybrid algorithm of feedforward neural networks based on the regularized least squares is presented. 提出一种基于正则化最小二乘的前向神经网络快速学习的混合算法。
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。
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。
This is an intensive Chinese course for fast Learner's. 这是为短期学员开设的中文强化课程。
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。