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。
Thes detecting structure instrument of the roof rock is integrated in the pneumatic bolt drill and data processing is adopted BP algorithm of mature net to identify the structure.
其中，顶板岩层结构探测仪是集成在风动锚杆钻机上，数据处理采用训练成熟的BP算法神经网络进行结构的识别；
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。
Conclusion BP artificial neural network can be used to forecast for disease incidence or mortality.
结论BP人工神经网络可以用于疾病发病率或死亡率的预测。
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。
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。
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。
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。
Application of the BP artificial neural network to the corn intelligent agriculture expert system.
谭宗琨。BP人工神经网络在玉米智能农业专家系统中的应用。
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。
The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.
基于混沌神经网络的供配电系统故障诊断，采用引入动量项和混沌映射的改进BP算法。
The recognition with BP artificial neural net grader shows that the recognition rate of moment features is rather high, this indicates that this method has better applicable effect.
用BP人工神经网络分类器进行识别，结果表明矩特征的识别率较高，说明该方法具有良好的应用效果。
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。
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 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 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。
The BP neural network used in the temperature characteristic of the boundary film on the screw-nut pairs surface in the wear-self-compensation system was established.
本文用双隐层BP人工神经网络建立了丝杆螺母副表面边界膜温度特性的磨损自补偿数学模型。
The NN learning block, using BP network, is determined by comparing the simulation results.
神经网络学习模块采用BP网络，通过仿真分析确定了网络的结构。
Experimental study showed that as a local and whole conjunction neural network RBF network can be trained very quickly, and can overcome shortcomings of local minimum pole in BP networks.
通过实验研究，体现了RBF神经网络作为一种局部全连接网络，训练速度快，克服了BP网络的局部极小点问题。
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。
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。
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。
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