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。
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。
Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
应用人工神经网络方法，以航磁数据为样本，建立了航磁信息关联的BP人工神经网络模型。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Experimental results show that the converging speed of this network model is faster than the traditional BP network and this model has a good practicability.
试验结果表明，该网络模型的收敛速度比一般BP网络有了很大提高，具有很好的实用性。
Aiming at the actual difficulties in load forecasting, a new load forecasting method in which the solar term load is used as modeling data was put forward combining ARIMA model and BP network.
针对电力负荷预测的实际困难，提出了一种以节气负荷作为建模数据，将ARIMA模型及BP网络相结合的负荷预测新方法。
The BP neural network used the wear-self-compensation mathematics model of the relationship of tribology characteristic with load of the heavy load screw-nut pairs was established.
用BP人工神经网络建立了重载丝杆螺母副的摩擦学特性与载荷之间关系的磨损自补偿数学模型。
The research on load prediction model of air - conditioning system based on BP neural network has been done.
对用BP网络进行逐时空调负荷预报的建模方法进行了研究。
The paper presents a scanner color management model based on BP neural network and the analysis of color rendering principle of scanning objects.
本文在分析扫描物呈色原理的基础上，提出了一种基于BP神经网络的扫描仪色彩管理模型。
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。
Objective:To observe the effect of the diagnosis model of poisoning based on BP neural network.
前言： 目的：考察基于BP神经网络的中毒诊断模型的诊断效果。
The convergence speed of region mapping model is faster than that of BP neural network, and the model has a good identification ratio.
模型从根本上保证了分类准则与训练准则的一致性，具有比BP网络更快的训练速度和更高的识别率。
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。
On this basis, a BP network model determining the relation between grain size and technological parameters is established, and the actual production technology has been optimized.
在此基础上建立了晶粒尺寸与工艺参数间关系的BP网络模型，进而以晶粒尺寸最小为目标对实际生产工艺进行了优化。
Through analyzing the influence factor of profile adjustment, the BP network effect prediction model is established and optimized.
通过对影响调剖效果的因素分析，建立了BP网络效果预测模型并对其进行优化改进。
Groundwater level variation has been quantitatively predicted based on the BP neural network model.
基于BP网络模型，对地下水水位变化规律进行了定量预测。
The bearing life forecast model based on BP network is researched. The multi step and multi feature forecasts can be realized concurrently.
试图用BP神经网络建立轴承寿命预测模型，并在该模型上进行多特征参数和多步预测方法的研究。
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。
Owing to the complicated variable rule of CMMs geometry error, it's difficult to convergence for using common BP neural network model arithmetic with a slow velocity.
由于坐标测量机几何误差变化规律复杂，采用一般的BP神经网络模型算法，速度慢且难以收敛。
This paper discusses the application of neural network model in prediction of stock index and predicts the Shanghai exchange index by establishing BP network model.
本文探讨了神经网络模型在股票预测上的应用，通过建立BP网络模型对上证指数进行了预测分析。
When BP network model is established, 8 parameters affecting the debris flows activity of the studying area are chose as the net input layer, and 20 samples are used to train the network.
在BP网络模型建立时采用了对研究区泥石流活跃程度影响最主要的8个参数作为输入层，并选取了研究区的20个样本对网络进行训练。
The method of fault diagnosis based on BP model neural network is studied, in which enough typical fault samples or expert knowledge are needed to train the neural network.
研究了基于BP模型神经网络的故障诊断方法，它只需来自生产实际的大量样板实例或领域专家的知识训练神经网络。
BP network model of groundwater quality assessment based on the calculation of BP neural network is presented.
阐述了人工神经网络基本原理，介绍了BP网络的地下水水质评价模型。
BP neural network model for leather handle property classification was set up after the characteristic parameters were selected.
在选取了皮革手感品质表征参数的基础上，建立了皮革手感品质分类BP神经网络模型。
The results of emulating practical wastewater treatment process of the network model show that the BP neural network has a strong learning capability.
该网络模型仿真实际废水处理过程的结果表明，BP神经网络具有很强的学习能力。
It proposes a dynamically reconfigurable FPGA realization model of the BP network.
本文最后提出了一种可动态重构的BP网络的FPGA实现模型。
Based on the explanation on principle of artificial neural network, the BP network model for reservoir operation rules is established.
阐述了人工神经网络的基本原理，提出了建立水库优化调度函数的BP网络模型。
The paper improves the BP neural network model and applies it in the handling volume forecast of airport logistics.
对BP神经网络模型进行了改进，并用于机场物流吞吐量的预测。
The paper improves the BP neural network model and applies it in the handling volume forecast of airport logistics.
对BP神经网络模型进行了改进，并用于机场物流吞吐量的预测。
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