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 conclusion of this text is: through the study on soil nature and BP neural network , a holing parameter predicts models after setting up.
其结论为：通过对岩土性质及BP神经网络的研究，建立了一种新的钻孔间参数预测模型。
After characters are divided from the raster image, the features of characters are extracted by symmetrical grids and then are inputted into BP neural network for further analysis.
首先对图纸的光栅图像进行字符分离，利用均匀网格方法抽取字符特征，用BP神经网络进行训练和识别。
Simulation tests were carried out with evaluation data given by experts from power supply enterprises in Baoding taken as training samples for BP neural network, and the results are good.
以保定市各县供电企业专家评价数据作为BP神经网络的训练样本，进行仿真试验，得到了满意的结果。
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。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
采用基于灵敏度分析的BP神经网络模型作为基分类器，进一步剔除冗余基因。
The principle and establishment of modified BP neural network are introduced.
介绍了改进BP神经网络的原理和建立。
Bayes' regularization raises the ability to extend of BP neural network.
贝叶斯正则化方法提高BP神经网络的泛化能力。
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。
The introduction study rate speeds up the BP neural network the training speed.
引入学习率来加快BP神经网络的训练速度。
To determine the optical parameters of turbid media with an unpolarized backscattering light an oblique incidence geometry with the compound bp neural network has been designed.
为从无偏振混浊介质背向散射光确定散射光学参数，设计了倾斜入射的模拟光路以及用复合反向传播神经网络求解的方案。
Finally, the experiment results compared with the BP neural network algorithm and polynomial matching algorithm show that the new model improves color conversion accuracy effectively.
最后，本算法与BP神经网络和多项式拟合算法比较，色彩转换精度有明显提高。
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 mathematical principles and models of gray relational analysis and BP neural network used to determine the source of water were introduced.
给出了灰色关联分析及BP神经网络进行判别分析的数学原理和模型。
Methods The layer analysis evaluate method and BP neural network method were applied.
方法应用层次分析和BP神经网络法。
It makes a comparison of the performance differences between the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering.
比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
With the advantage of simple structure and mature technique, BP neural network has extensive application in many fields.
BP神经网络具有结构简单、技术成熟的优点，在很多领域都有广泛的应用。
Finally, nine kinds of natural images are classified successfully based on wavelet feature using BP neural network.
文章最后结合九类自然纹理图像，分别基于标准子波特征、子波包特征用BP神经网络进行了分类识别。
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。
And for the handwriting character the system adopts BP neural network to realize the recognition.
而对于手写体字符，系统采用BP神经网络来实现字符的识别。
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。
This paper applied BP neural network control to the Static Phase Generator, and achieved good results.
本文将BP神经网络控制应用到静止式进相器中，取得良好的效果。
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。
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。
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