介绍了改进的BP网络训练算法。
提出了一种单层感知器网络训练的新算法。
A new algorithm is proposed for training single layered perception neural networks.
在神经网络训练的梯度表示的价值是什么？
What does the value of the gradient during NN training signify?
网络训练年轻人反应迅速激起他们对计算机科学的兴趣。
Internet trains young people to respond quickly and arouses their interest in computer.
提出了比例系数BP网络训练算法，提高了网络的训练速度。
The scale factor training algorithm has been brought forward to accelerate the training of BP network.
排在后面训练的网络可以得到从前面的网络训练中得到的信息。
The later sub-networks can obtain learnt information from the earlier sub-networks.
方法采用人工神经网络方法和基于动量因子技术的改进BP网络训练算法。
Method the artificial neural network and the advanced BP training arithmetic operations based on momentum factor technique are used.
构造了局部连接的前馈神经网络的结构和基于递推预报误差的网络训练算法；
The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.
在应用NIFPAT算法对机动目标跟踪时存在计算量大和要求网络训练两个弱点。
In tracking a maneuvering target by NIFPAT algorithm, there are two shortcomings i. e. great computational burden and dependence on network training.
用训练样本集对网络训练后，检验样本的预测结果与实际值最大误差为0.97%。
The model was trained with training sample aggregation. The maximum error between the forecasted and real value was 0.97%.
建立了一个BP神经网络初始预测模型，并用医院库存的历史数据进行了网络训练。
An initial forecast model of BP neural networks is established, and is trained using the history data of our hospital inventory.
研究了手写体汉字识别技术，采用改进BP算法进行网络训练，提高了算法的收敛速度。
A technological research on recognition of handwritten Chinese characters based on improved BP algorithm is summarized. This algorithm can enhance convergence speed.
在改进BP算法与网络训练的结合过程中，权函数及输入函数皆被用同一正交基函数展开。
In the process of application of Improved BP algorithm in PNN, the input functions and the network weight functions are represented as expansion of a same orthogonal function basis.
网络训练后的检验精度较高，通过编制的用户界面实现了一定工艺参数范围内的熔深预测。
The trained network can predict fusion penetration in a definite range through GUI, which has good verifying precision.
通过网络训练，使该网络确立了电路系统输出电信号与入射光斯托克斯参数之间的映射关系。
The mapping relationships between the electrical signals and the Stokes parameters can be determined by training the neural network.
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。
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.
证明了在存在噪声干扰及网络设计误差的情况下，网络训练过程具有指数收敛性和鲁棒平稳性。
The exponential convergence of the training process and its robust stability to the noise perturbances and the network design errors are also proved.
在网络训练算法中，提出一种自适应修正步长和矩量因子的算法，显著提高了训练的收敛速度。
In the training algorithm of the network an algorithm with adaptive step correction and momentum factor is put forward which obviously improves the convergence speed of training.
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。
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.
基于梯度下降的神经网络训练算法易于陷入局部最小，从而使网络不能对输入模式进行准确分类。
Neural network BP training algorithm based on gradient descend technique may lead to entrapment in local optimum so that the network inaccurately classifies input patterns.
我们提出了一种减轻网络训练负担的残差学习框架，这种网络比以前使用过的网络本质上层次更深。
We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously.
利用舰艇声呐实测数据进行网络训练，训练好的神经网络可以对舰艇声呐部位自噪声进行精确预报。
The actual data of naval vessel sonar are used to train the network, and then the trained neural network can forecast the naval vessel sonar self-noise accurately.
为了进一步提高预测精度和网络训练的效率，对众多的预报因子采用主成分分析的方法进行降维处理。
For improving forecast accuracy and the efficiency of network training, we USES principle components analysis method to reduce the dimensionality of the feature space.
通过高精度的数控移动工件台获取密集的样本数据，并在神经网络训练过程中采用贝叶斯正则化方法。
Dense sample data are acquired by using numerical control platform of high precision, and the Bayesian generalization is adopted during training the neural network.
算法将网络训练看成是求解一个优化问题，网络权是优化变量，而先验知识则是优化问题中的约束项。
It takes the network training process as to solve a nonlinear optimization problem. The network weights are optimization variables and prior-knowledge is the constraint.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
该方法将网络训练问题变换为一系列的凸规划子问题，而这些子问题都可以在较短时间内获得全局最优解。
The proposed method transforms the training problem into a number of convex subproblems which can be solved in shorter time to obtain globally solutions.
运行程序完成了网络训练模块和数据仿真模块，从而可以完成焊缝几何形状的预测，实现焊接参数的优化。
Run the program and accomplish network training module and data simulation module, then can complete the forecast of geometrical figure of welding line, realize the optimization of welding parameters.
运行程序完成了网络训练模块和数据仿真模块，从而可以完成焊缝几何形状的预测，实现焊接参数的优化。
Run the program and accomplish network training module and data simulation module, then can complete the forecast of geometrical figure of welding line, realize the optimization of welding parameters.
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