目前这类算法已被广泛应用于机器学习，人工智能，自适应控制，人工神经网络训练，图像处理等各个方面。
This algorithms has been widely used in machine learning, artificial intelligence, adaptive control, artificial neural network training, Image processing, among other areas.
将人工神经网络理论和算法应用于双辉离子渗碳的研究，在对人工神经网络训练的基础上，建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built.
深度学习是指训练多层的人工神经网络的方法。
Deep learning refers to the method of training multi-layer artificial neural networks.
以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
提出高密集人群建筑物综合地震灾害控制评价指数的概念，设计并训练该指数人工神经网络并进行分析和预测。
Puts forward the concept of synthesis earthquake disaster control appraisal index, Design and train this index based on artificial nerve network then carry on analysis and estimate.
人工神经网络（ANN）的初始权值和阈值通过离线训练的方式获得。
The initial weights and biases of the artificial neural network(ANN)are obtained by offline training method.
用经过训练的人工神经网络对飞轮试件的损伤模式进行了有效识别。
The damage type of fly wheels was distinguished by the trained artificial neural network.
基于人工神经网络BP算法的倒立摆小车实验仿真训练模型，其倒立摆BP网络为4输入3层结构。
The training model of test simulation for car of inverted pendulum based on BP algorithm of artificial neural networks (ANN) is a BP network that has 4-input and 3-layer structure.
并提出在利用人工神经网络进行铁路货运量预测时，训练样本的时间长度为最近的一个完整经济周期。
Meanwhile, the length of time on training sample was determined as the recent complete economic cycle when using artificial neural network for railway freight volume forecasting.
提出了一种基于人工神经网络的聋儿语音训练识别的多媒体特征挖掘技术。
The mining techniques which use artificial neural network to solve the speech recognition for Deaf - mutes is given.
其次，采用人工神经网络方法（ANN）和扩大训练基组构建新B3LYP泛函，并将新泛函用于分子能量的计算。
Secondly, new B3LYP functional is constructed combined artificial neural network (ANN) with enlarged training set and the new B3LYP functional is adopted to calculate the molecular energies.
人工神经网络模拟人脑的思维方式，具有输入与输出是一个高度非线性映射关系以及高智能、可训练、超大容量等特点。
Manual neural network simulates human's thought. But its input and output is highly non-linear mapping. And it also has high intelligence, can trained, with big capacity and etc.
这个有趣的文件表明，这种错觉“自动”发生作为副产品时，人工神经网络的亮度恒常训练。
This interesting paper shows that this illusion "automatically" occurs as a by-product when an artificial neural network is trained for brightness constancy.
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.
选取正交设计的试验点作为反向传播人工神经网络的训练集，实现对全实验域试验点的预测，并与实测的试验数据比较。
The trials of orthogonal design were chosen as the training set of the BP-ANN, and forecasted the trails of the entire field.
利用BP人工神经网络的多信息综合能力和分类能力，实现了多信息复杂压力故障的诊断，并获得了用BP算法训练网络的一些实际体会及方法。
The diagnosis of complex pressure fault with a large variety of information was attained by using the ability for BP neural network to synthesize and classify a large variety of information.
概率神经网络(PNN)是一种训练速度快、结构简洁明了、应用广泛的人工神经网络。
Probabilistic neural network (PNN) model is a kind of artificial neural network, which is simple in structure, easy for training and widely used.
本研究设计了适用于GPS单点定位计算的BP人工神经网络模型结构，采用共轭梯度算法改善网络的训练速度和精度。
The BP network architecture applied to determine GPS standalone position is designed. Meanwhile, the conjugate gradient algorithm is used to improve the training velocity and accuracy of the network.
采用湖南洛塔地区屋檐洞地下河系统降水—径流资料训练BP人工神经网络，建立了该系统的径流预测模型。
This paper presents a forecasting model of runoff to Wuyandong subterranean stream system by BP ANN based on the data of precipitation and flux in Luota, west Hunan.
并对人工神经网络模型进行仿真训练学习，并将训练好的神经网络应用于对相关案例的估算。
Then the emulation and training for the network were proceed with, and the parameters derived from the trained network could be used to evaluate relevant cases.
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。
本文给出了用人工神经网络硬件构成的汽门控制器的适应性实验结果，控制器采用BP网络离线训练。
The result of adaptability experiment for valving controller based on artificial neural network is presented in this paper. The controller is trained by off-line BP network.
并利用BP人工神经网络非线性模型对震害实例样本进行了训练。
And the actual damage samples are trained by BP artificial neural network model.
将以误差反向传播为训练算法的前馈式人工神经网络（BP- ANN）首次用于中草药的裂解气相色谱谱图解析。
The potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed.
并将由CPLD控制的基于FPGA的可重构系统应用到人工神经网络的BP网络训练和BP网络执行两个算法的可重构实现过程中并进行分析。
Using the reconfigurable system based on FPGA controlled by CPLD in the reconfigurable implementation of BP train Network and BP implement Network of Artificial Nerual Network.
在富营养化预测方面，通过人工神经网络插值的方法生成了足够的训练样本。
In the prediction of eutrophication, a sufficient sample is generated by the neural network interpolation method, indirectly overcoming the problem of lacking data.
论文的最后在实验基础上，整理出故障训练及检验样本，编制了基于人工神经网络的故障诊断程序。
At last a FDD tool is programmed based on ANN with experiment results which formed training stylebook and test stylebook.
论文的最后在实验基础上，整理出故障训练及检验样本，编制了基于人工神经网络的故障诊断程序。
At last a FDD tool is programmed based on ANN with experiment results which formed training stylebook and test stylebook.
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