While in order to preview the change of natural gas price more accurately, I choose improved BP model-partial Least Squares Regression to forecast the price.
同时，为了更精确地预测天然气价格变动，我选择BP模型的改进模型也就是偏最小二乘神经网络模型对天然气价格进行预测。
Based on expatiated the basic structure model and some general improved algorithms of BP neural network, this paper brings forward a new self-organization learning algorithm.
介绍了BP网络的基本结构模型与常见改进算法，在此基础上提出了一种新型的结构自组织BP网络算法。
By comparing with standard BP model, it shows that both the two improved methods can improve the precision of ANN efficiently.
通过与标准BP算法的比较，表明这两种改进方法都能有效地提高神经网络模型的精度。
To decrease the false alarm rate and improve hit rate of IDS, an improved BP algorithm was applied to an ID model.
为了降低入侵检测系统的误警率，提高检测率，在入侵检测模型中应用了一种改进BP算法。
The validity of the improved BP neural network predictive model was validated through the experiments.
并通过具体的实验验证了改进BP神经网络预测模型的有效性。
This paper presents a fault diagnosis method that an improved BP neutral network model is applied to CNC machine.
提出了一种改进的BP神经网络模型应用于数控机床的故障诊断方法。
The calculation results prove that the model for load optimal regulative characteristic of doubly fed hydrogenerator based on improved BP neural network algorithm is effective.
计算结果证明了基于改进BP神经网络算法建立的双馈水轮发电机负荷优化调节特性模型的有效性。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
The prediction model of slagging condition on the convection heating surfaces of large coal-fired boilers is built based on the improved BP algorithm.
基于人工神经网络的改进BP算法，建立了大型燃煤锅炉对流受热面积灰结渣状况的预测模型。
Research on main parameters modification of Duncan-Chang model based on the improved BP network.
基于改进的BP网络对邓肯张模型主要参数修正研究。
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.
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。
With improved BP network, Adopting deep, short resistivity, and acoustic logging, the model to recognize oil layer and water flooded layer is established.
利用改进的BP算法，采用深、浅侧向电阻率、声波时差测井建立了油层、水淹层的识别模型。
A model of sale forecast based on a kind of improved BP neutral network was provided.
提出了一种基于改进BP神经网络的销售预测模型。
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。
BP network model and BP algorithm are also researched and BP algorithm is improved by adding the momentum item and self-adapting the length of train step.
研究了BP网络模型和BP算法，并对BP算法进行了加入动量项和自适应调节步长的改进。
In this paper, the time - sequence model of traffic flow is based on the improved BP neural network, and this model can be used for short time prediction of traffic flow.
本文采用改进型BP神经网络建立起交通流的时间序列模型，该模型可用于短期内道路交通流量的预测。
The neural network model of the equivalent complex refractive of random rain media is developed by means of the improved BP algorithm, based on the electromagnetic wave propagation theory.
利用改进的BP算法，结合电波传播理论，建立了随机雨介质的等效复折射指数的神经网络模型。
The actual prediction ability of BP network model is improved and training velocity is increased by adding momentum factor and using the weight control calculation in the BP network model.
BP网络模型在加入动量项和引入权值控制算法进行改进后，不但预测能力有所改善，网络的训练速度也有了很大的提高。
A mixed NN model is constructed using BP algorithm improved with dynamic learning rate.
利用动态学习率改进BP算法，建立了混合神经网络模型。
The identification algorithm integrating the forward evolutionary algorithm and improved BP algorithm for the dynamic recursive neural network model is formed.
与改进BP算法相结合，各取所长，形成集成化动态递归神经网络建模辨识算法。
Applying improved BP algorithm, it shows the improved BP algorithm can easily converge into the local minimum point and it can improve the accuracy of model.
建模实践表明，改进后的BP算法可能使网络误差函数达到局部极小点，提高了算法的拟合精度。
Predicting precision of the networks was improved obviously compared with LR model and basic BP networks model.
与线性回归模型及原bp网络模型相比，预测精度有了明显的改善。
Based on the mathematic model of PMSM, a combination of an improved BP neural network and a general PID controller is used in its speed control system.
在分析永磁同步电机数学模型的基础上，采用改进型BP神经网络与传统PID控制相结合作为速度控制器，应用于永磁同步电机调速系统中。
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。
In order to monitor and forecast grinding arc temperature dynamically, an improved BP network is designed as a temperature forecasting model.
具体给出了监测系统的组成及测温方案，并提出了一种更适宜进行动态预报的改进型BP网络作为磨削温度的预报模型。
In this thesis, the above GM (1, 1) model of the limitations of using BP neural network is improved.
本论文针对上述的GM(1,1)模型的局限性，利用BP神经网络算法进行了改进。
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。
The experiment results indicate that the improved BP network model can avoid nonlinear modeling and enhance the calibration precision and the flexibility, which has real significance.
结果表明：采用改进的BP神经网络能够避免对摄像机进行非线性建模，有利于提高标定精度，增加系统的灵活性，更具有实际意义。
The experiment results indicate that the improved BP network model can avoid nonlinear modeling and enhance the calibration precision and the flexibility, which has real significance.
结果表明：采用改进的BP神经网络能够避免对摄像机进行非线性建模，有利于提高标定精度，增加系统的灵活性，更具有实际意义。
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