The accuracy of prediction of BP neural networks model is higher than that of factor analysis.
BP神经网络的预测精度高于线性统计模型。
In order to predict coal bed gas content quantitatively, a BP neural networks model was established using a BP neural networks prediction method.
为了对煤层含气量进行定量预测，采用BP神经网络预测方法，建立了煤层含气量预测的BP神经网络模型。
BP neural networks model of the main spindle system of the grinder is built and the structure model updating and optimization calculation are carried through based on the method.
基于此法建立了磨床主轴系统的BP神经网络模型并进行了结构修正与优化计算。
This paper puts forward the ways of reliability prediction based on artificial neural networks, builds the three layers BP neural networks model, and presents its arithmetic in detail.
本文提出了基于人工神经网络的可靠性预测方法，建立了用于数控机床可靠性预测的三层BP神经网络模型，给出了具体的算法。
The BP algorithm of Artificial Neural Networks and lots of experimental samples were used in training the BP model which succeeded in diagnosing four kinds of operational status.
应用神经网络的误差反向传播算法(BP)和大量的实测数据样本训练出了能在线诊断四种加工状态的BP模型并成功地诊断了实际加工状态。
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.
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。
This paper puts forward a model of discovering and forecasting price trend in market, based on neural networks BP algorithms.
提出了一种利用神经网络BP算法模型于发现和预测商业市场价格变化趋势的模型。
An initial forecast model of BP neural networks is established, and is trained using the history data of our hospital inventory.
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。
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.
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。
On the basis of these, the model of the nonlinear system is set up based on improved BP neural networks.
在此基础上建立了基于改进BP神经网络的非线性系统模型。
Because liner models have some defects, I construct perceptron model and BP model on base of neural networks theory.
考虑到线性模型的一些缺点，本文随后应用神经网络理论，分别建立感知器预警模型和BP网络预警模型。
The BP neural network combines with the SOM neural networks to form a intrusion detection learning model with relatively complete function.
将BP神经网络和SOM神经网络结合起来，组建功能相对完善的入侵检测学习模型。
By using BP neural networks to oltain the model of AC speed adjustable system; another CMAC is used for adaptive controller.
该方法采用一个三层BP网络辩识交流调速系统的特性，用另一个CMAC神经网络作为自适应控制器。
A fuzzy neural network in t s model is constructed. Chaotic mechanism is introduced into the normal BP algorithm to train the weight parameters of the fuzzy neural networks.
出一种T -S模型的模糊神经网络，在通常BP算法的基础上，引进混沌机制来训练模糊神经网络的权值参数。
By using of BP neural networks, have established a user model based on those key factors which can be used in the design of the humanized web interface.
基于这些决定性因素，用神经网络的方法建立了一个用于个性化网站界面风格和布局设计的用户模型。
About the financial status signals a financial early warning model is established based on forward 3 layer BP neural networks.
对于有关财务状况预警信号采用前向三层BP神经网络建立财务预警模式。
Absrtact: By considering the error rates and the training speed of neural networks, a hierarchical classifiers which is called as BP - LVQ neural network combination model is proposed in this paper.
摘要：综合考虑神经网络分类误差率以及训练速率，文中从组合分类器结构出发，提出一种树形多层的BP—LV Q神经网络组合分类器模型。
Based on the identification model, an adaptive fuzzy neural networks voltage controller was designed. The parameters of the controller are regulated by adopting the novel BP algorithm.
基于该辨识模型，设计了一个自适应模糊神经电压控制器，其参数采用改进的BP算法进行在线修正。
Results the properties of higher order feedforward neural networks model were superior to those of the traditional BP model when applied in the assessment of regional environmental quality.
结果高阶前馈神经网络模型应用于区域环境质量评价时，其性能指标优于传统BP网络。
It is shown that the prediction precision of BP neural networks can be improved greatly according to many on-line data and the optimization model can be adapted to v...
通过大量在线数据分析，可知这种方法对中厚板板凸度的预报精度有很大改善，能适应不断变化的工艺过程和设备条件。
It is shown that the prediction precision of BP neural networks can be improved greatly according to many on-line data and the optimization model can be adapted to...
通过对大量在线数据分析得出，这种方法对中厚板板凸度的预报精度有很大改善，能适应不断变化的工艺过程和设备条件。
It is shown that the prediction precision of BP neural networks can be improved greatly according to many on-line data and the optimization model can be adapted to...
通过对大量在线数据分析得出，这种方法对中厚板板凸度的预报精度有很大改善，能适应不断变化的工艺过程和设备条件。
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