• The test shows that this method is effective and feasible, and has higher diagnosis precision than BP neural network in cases of fewer samples.

    试验结果表明方法有效可行的,样本情况下BP神经网络具有更高诊断精度

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  • 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死亡率预测

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  • 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.

    采用多分辩率分析方法提取基因表达特征利用支持向量BP神经网络方法进行分类。

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  • The conclusion of this text is: through the study on soil nature and BP neural network , a holing parameter predicts models after setting up.

    结论通过对岩土性质BP神经网络研究建立一种新的钻孔间参数预测模型

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  • Application of the BP artificial neural network to the corn intelligent agriculture expert system.

    谭宗琨。BP人工神经网络玉米智能农业专家系统中的应用

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  • 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.

    介绍了批量处理时间序列情况下,BP神经网络辨识预测电力负荷方法步骤

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  • 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BP神经网络进行训练识别。

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  • 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磁数据样本,建立了航磁信息关联BP人工神经网络模型

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  • 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神经网络训练样本进行仿真试验,得到了满意的结果

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  • Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .

    具体回归预测指数平滑法灰色模型预测法、BP神经网络法RBF神经网络法。

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  • 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BP神经网络模型作为分类器进一步剔除冗余基因

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  • The principle and establishment of modified BP neural network are introduced.

    介绍了改进BP神经网络原理建立

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  • Bayes' regularization raises the ability to extend of BP neural network.

    叶斯正则化方法提高BP神经网络泛化能力

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  • 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.

    本文隐层BP人工神经网络建立了丝杆螺母表面边界温度特性磨损自补偿数学模型。

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  • And it has explored a new field for the application of BP neural network method technology.

    BP神经网络方法技术应用探索了一个新的领域

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  • The introduction study rate speeds up the BP neural network the training speed.

    引入学习率来加快BP神经网络训练速度。

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  • 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.

    BP人工神经网络建立了重载丝杆螺母副摩擦学特性载荷之间关系的磨损补偿数学模型

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  • 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网络基本结构模型常见改进算法基础提出一种新型的结构组织BP网络算法。

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  • 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.

    从无偏振混浊介质背向散射确定散射光学参数,设计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。

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  • 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BP神经网络多项式拟合算法比较色彩转换精度有明显提高

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  • In this paper, a method of the calculation of LPC coefficients is proposed by use of BP neural network.

    提出一种基于BP神经网络线性预测系数的求解方法

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  • The mathematical principles and models of gray relational analysis and BP neural network used to determine the source of water were introduced.

    给出灰色关联分析BP神经网络进行判别分析数学原理模型

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  • Methods The layer analysis evaluate method and BP neural network method were applied.

    方法应用层次分析BP神经网络法

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  • It makes a comparison of the performance differences between the BP neural network and the RBF neural network in nonlinear filtering.

    比较BP神经网络RBF神经网络非线性滤波中的性能差异

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  • It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering.

    比较BP神经网络RBF神经网络非线性滤波中的性能差异

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  • It makes a comparison of the performance differences of the BP neural network and the RBF neural network in nonlinear filtering.

    比较BP神经网络RBF神经网络非线性滤波中的性能差异

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