文章还提出了一些减少人工神经网络学习训练时间的方法。
神经网络学习易语言源码例程程序演示了单层感知神经训练。
Neural network learning easy language source code routine program demonstrates a single sensory neural training.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
运用云神经网络学习变量间的云映射关系，从中生成云决策树。
It adopts cloud neural network to study the cloud mapping relationship between variables, so as to generate cloud decision tree.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
A Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
A Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is studied.
神经网络学习模块采用BP网络，通过仿真分析确定了网络的结构。
The NN learning block, using BP network, is determined by comparing the simulation results.
有效地克服了人工神经网络学习速度慢、存在局部极小点的固有缺陷。
The intrinsic defects of artificial neural network, e. g. , its slow learning speed. existence of partial minimum points, are solved.
请问你会设计一个新的神经网络学习算法，或添加更酷的声音效果吗？
Will you design a new neural network learning algorithm, or add a cool sound effect?
易于使用的界面，使您能够设置最小的条件进行预处理和神经网络学习。
The easy-to-use interface allows you to set minimal conditions for preprocessing and neural network learning.
同时使用改进的BP算法，避免了神经网络学习中可能产生的麻痹现象。
The application of the improved BP algorithm, paralysis which may happen in the training procedure of ANN, was effectively avoided.
通过神经网络学习，修正模糊隶属函数参数值，可模拟不同类型的驾驶员。
The parameter of fuzzy member function can be corrected with the neural network as result that the model can simulate the driver with individuation.
通过训练神经网络学习样本数据，建立了正确的发动机怠速神经网络模型。
By using the collection data in training the neural network, this paper establishes the proper engine idle speed neural network model.
结果表明：用L -M规则进行神经网络学习训练可使网络收敛快，误差小。
The network lessens quicker and the error less trained with the L-M rule .
本文提出了基于神经网络学习算法的一种新的胃电信号自适应时频分析方法。
A novel adaptive time frequency analyzing methodology based on neural network is presented in this paper.
本文根据自组织特征映射神经网络学习算法，提出了其权值的CMOS实现电路。
According to a learning algorithm of self organizing neural network for mapping character, a CMOS implementation of its synaptic weight by circuit is presented in this paper.
如何找到一种更加行之有效的RBF神经网络学习算法具有重要的理论意义和应用价值。
It has important theoretical significance and application value how to find an effective learning algorithm of RBF neural networks.
学习速率是控制神经网络学习过程的一个重要参数，影响神经网络的稳定性和快速性。
The learning rate is an important parameter for the learning process of a neural network (NN) which influents the stability and quickness of the NN.
提出一个基宽度可调的RBF神经网络学习算法，并将它应用于个股走势模式的分类问题。
This paper presents a learning algorithm for a RBF neural network with adjustable radial basis width and discusses its application in the classification problem of share tendency patterns.
然后将试验得到的大量点焊工艺参数与相应点焊接头质量的试验数据提供给神经网络学习。
Then a lot of experimental data about welding parameters and corresponding spot welding quality were supplied to the ANN for training.
利用训练样本使一个BP神经网络学习选择材料的知识，利用测试样本验证此网络的能力。
A prastical neural network of BP model is acquired after trained with a learning samples set, which consists of materials selection knowledge.
该方法用幂级数多项式拟合传感器的非线性模型，多项式的系数可由神经网络学习算法得到。
The response of the sensor is expressed in terms of its output by a power series. The coefficients of the power series can be learned and determined by a simple neural algorithm.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
参数应选择以这样的方式，其不同的组合，将让神经网络学习解决尚未在信号树立的榜样出现复杂局面。
The parameters should be chosen in such a way that its different combinations will let the neural network learn to solve complicated situations which haven't appeared in the example set of signals.
阐述了神经网络学习算法，设计了高速公路可变速度标志神经网络控制器，并对控制器进行了仿真研究。
The neural network algorithm is formulated and the controller is designed. Simulation research is carried out by taking full advantage of a computer.
PD反馈控制器用于使系统达到稳定，同时和前馈的神经网络学习控制器一起使系统达到理想的控制效果。
By PD controller which is used to make system more stable, the system can reach ideal control effects with the feed forward neural learning controller.
介绍了一种新的非参数回归RBF神经网络学习算法，该算法将R BF神经网络与回归树结合起来使用。
A new nonparametric regression learning algorithm for RBF neural network is presented. It is a novel method involving a combination between regression trees and RBF networks.
该方法基于均匀设计获得的样本进行神经网络学习，用模式–遗传–神经网络进行岩体流变参数的最优辩识。
The samples produced by uniform design are used to train NN whose architecture is determined in global optimization by pattern-genetic algorithm(PGA).
首先对初始数据进行预处理，使其适应BP神经网络学习的要求，然后建立基于BP神经网络的税收预测模型。
During the investigation, the original data are preprocessed to meet the requirements of the study in BP neural network, and a taxation forecasting model based on BP neural network is established.
首先对初始数据进行预处理，使其适应BP神经网络学习的要求，然后建立基于BP神经网络的税收预测模型。
During the investigation, the original data are preprocessed to meet the requirements of the study in BP neural network, and a taxation forecasting model based on BP neural network is established.
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