A study on the modeling of chemical processes with BP neural networks is presented.
研究使用BP神经网络来完成化工过程的建模。
BP neural networks and GA were applied to the optimal design of mechanical structure.
将BP神经网络和遗传算法相结合运用于快速设计的结构优化问题。
This paper considers the problem of financial prediction based on BP neural networks.
本文研究基于BP神经网络的证券市场预测问题。
Finally, the features are preprocessed, then classified by integrating BP neural networks.
特征量被预处理后，输入到集成bP神经网络分类器中分类。
It also solves the problem how to decide the hidden node Numbers for the BP neural networks.
同时，解决了BP神经网络难以确定隐结点数的问题。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
提出一种基于BP网络的非线性预测控制算法。
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。
The content includes in the fuzzy segment, BP neural networks and principal component analysis.
内容涉及模糊分割技术、BP神经网络、主元分析技术。
The modulation recognition technology for communication signals based on BP neural networks is studied.
本文研究了基于BP神经网络的通信信号调制体制识别技术。
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。
The results shows that the forecasting effect of the new algorithms is better than the BP neural networks.
结果表明，改进方法的预测效果优于单一使用BP神经网络进行预测的效果。
Finally, the construction control of cable-stayed bridge based on BP neural networks is discussed and analyzed.
最后，本文对基于BP神经网络的斜拉桥施工控制进行了探讨。
The order ambiguity problem of single peak tracing method is solved through the application of BP neural networks.
应用反向传播神经网络，解决了单峰测量方式的级次模糊问题。
The PID controller based on BP neural networks is designed to realize control parameter self-learning and self-adjusting.
设计了基于BP神经网络的PID控制器，实现PID控制器参数自学习、自整定。
Using BP neural networks, the fitness of GA was calculated, on the basis of which the mechanical structure was optimized.
用神经网络计算遗传算法的适应度，对结构进行优化。
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。
BP neural networks with pattern extended input are used to estimate control parameters, and the learning speed is increased.
并采用具有模式增强输入的BP网络进行决策参数估计，加快学习的收敛。
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。
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。
On the basis of above analysis, the application of the BP neural networks in leak signals identification and classification is made.
在此基础上，研究了BP神经网络在泄漏信号识别和分类中的应用。
In this paper we propose an approach for tumor informative genes selection by analysis of gene sensitivity based on BP neural Networks.
该文提出基于BP神经网络的灵敏度分析方法，并用于选取肿瘤特征基因。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of…
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
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。
It can be seen that the BP neural networks can not only apply to enterprise, but also apply to nonprofit organizations in warning financial risk.
可见，BP人工神经网络不仅适用于企业，也同样适用于非营利组织的财务风险预警监测。
Comparative experiments show neural networks based on algebraic algorithm are better than traditional BP neural networks in character recognition.
对比实验表明，在车牌字符识别方面，基于代数算法的神经网络优于传统的BP神经网络。
In the method, those single BP neural networks which have been trained solely are integrated averagely in order to build up the tongue coat classifier.
该方法把经单独训练的具有一定差异度的单个BP神经网络加以集成，构成舌苔分类器。
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。
To improving the diagnosed speed and accuracy of the steam turbine diagnose system, this paper proposes a method that combines QPSO with BP neural networks.
为了提高汽轮机诊断系统的诊断速度与精度，提出了将量子粒子群算法和BP神经网络相结合的故障诊断方法。
To improving the diagnosed speed and accuracy of the steam turbine diagnose system, this paper proposes a method that combines QPSO with BP neural networks.
为了提高汽轮机诊断系统的诊断速度与精度，提出了将量子粒子群算法和BP神经网络相结合的故障诊断方法。
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