The error analysis and practical use show that combining relating analysis method with BP network method to predicting gas gushing quantity of mining faces is a feasible method.
通过误差分析及实际应用，证明将关联分析与BP网络结合起来开展采面瓦斯涌出量预测是一种可行的方法。
The BP network model of prediction of gas gushing quantity for combined mining faces is established by means of BP network method of ANN theory. The error analysis and practical use show that co…
通过误差分析及实际应用，证明将关联分析与BP网络结合起来开展采面瓦斯涌出量预测是一种可行的方法。
The test shows that this method is effective and feasible, and has higher diagnosis precision than BP neural network in cases of fewer samples.
试验结果表明该方法是有效、可行的，且在小样本情况下比BP神经网络具有更高的诊断精度。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
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。
And it has explored a new field for the application of BP neural network method technology.
为BP神经网络方法技术的应用探索了一个新的领域。
A bolt supporting parameter selection neural network construction has been developed, the software is programmed based on BP algorithm. The practice result shows that this method is effective.
设计了预测回采巷道锚杆支护参数的神经网络结构，并根据BP算法编制了软件。实际应用结果表明这一确定锚杆支护参数的方法是有效的。
This paper studies BP network, realizes the method of gradient descent, gets better result than traditional one.
本文研究了BP网络，实现了“梯度下降法”的网络训练方法，获得了较传统方法好的效果。
In this paper, a method of the calculation of LPC coefficients is proposed by use of BP neural network.
现提出一种基于BP神经网络的线性预测系数的求解方法。
The article adopts the BP method of artificial neural network to forecast athletic achievements, and it shows that the precision of the model is effective through learning some samples.
鉴此应用BP神经网络对运动成绩进行预测，并结合实例说明了该方法的实施与应用。
This text carry on deeper studying to BP neural theory and implementation method of network also.
本文还对BP神经网络的理论和实现方法进行了较深入的研究。
After the designed BP network be out-line trained based on the method, its efficiency and feasibility have be proved by comparing and analyzing simulated results.
通过对基于该方法设计的BP网络离线训练后所进行的仿真结果分析与比较，使其有效性和可行性得以验证。
The method of BP neural network based on MATLAB is introduced. It is applied to the evaluation of the sandy soil seismic liquefaction with satisfactory results.
介绍利用MATLAB神经网络工具箱训练BP网络的方法及其在砂土震动液化评价中的应用，取得了良好的效果。
A method of recognizing container number based on BP neural network is proposed.
提出一种用BP神经网络实现集装箱箱号识别的方法。
Based on this, bring forward the BP neural network structural damage detection method based on modal parameters.
在此基础上提出了基于模态参数的BP神经网络结构损伤识别方法。
Fault diagnosis method based on BP neural network is researched for reciprocating compressor valves.
研究了基于BP神经网络的往复压缩机气阀故障诊断方法。
The characteristics of BP neural network and chaos optimal method are analyzed. By integrating chaos optimal method with gradient-decline method, an optimal method of combination search is created.
分析了BP神经网络和混沌优化的特点，并将混沌优化方法和梯度下降法结合起来构成一种新的组合搜索优化方法。
Data of ultimate shear stress of hyper concentration flow are trained several times by Back Propagation (BP) neural network method.
应用误差逆传播（BP）神经网络方法，对高含沙流体极限剪应力进行了多次训练。
A novel control method based on BP network controller is presented for the nonlinearities in active vibration isolation system.
针对主动隔振系统存在的非线性，提出一种基于BP网络控制器的主动控制方法。
Practice verified: the data fusion method of BP neural network can increase effectively the credibility of the data.
实践表明：神经网络BP算法数据融合方法可有效提高数据的可信度。
A scale training algorithm of BP neural network is used, and sample reorganization method is proposed. Its advantage is the fast training speed and good feature extraction ability.
作者使用比例训练的BP算法，提出对训练模式进行样本重组的方法，其特点是训练速度快、特征抽取能力强。
The improved BP network training method was introduced.
介绍了改进的BP网络训练算法。
Safety assessment method using BP neural network can overcome the defects of traditional safety assessment methods and enhance its precision and reliability.
利用人工神经元网络进行安全评价可以克服传统的安全评价方法的缺点，提高安全评价方法的精确度和可靠性。
This article proposes a usage of rough collection theory by optimizing the BP nerve network model method, and will apply the optimized network model in the rolling bearing breakdown diagnosis.
提出了使用粗糙集理论优化BP神经网络模型方法，并将优化后的网络模型应用于滚动轴承的故障诊断中。
Comparing the predicted data to expectation, the BP network is proved an effective method for predicting unit price of BOQ.
通过比较预测值与期望值，验证BP神经网络方法可以作为预测工程量清单单价的方法。
A combined classifier is designed. There are two recognition ways used in the classifier. They are the least distance pattern recognition method and the BP neural network pattern recognition method.
设计了一个二级组合分类器，该分类器综合使用了最小距离和BP神经网络两种模式识别方法。
The method of BP network classifier design, the way of sample selection and organization are both delivered.
提出了BP网络分类器的设计方法、样本的选择及组织方法。
This paper classifies patterns by using four-layer BP network and the learning method of error inverse propagation.
文章在深入分析基本BP算法的基础上，采用四层BP网络，利用误差逆传播学习方法实现了对模式的分类。
This paper classifies patterns by using four-layer BP network and the learning method of error inverse propagation.
文章在深入分析基本BP算法的基础上，采用四层BP网络，利用误差逆传播学习方法实现了对模式的分类。
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