• Method The BP neural network method.

    方法采用BP神经网络方法。

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  • For the nonlinear algorithm, we introduce BP neural network into the g.

    在非线性算法方面,把神经网络模型引入到g。

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  • 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。

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

    介绍了改进BP神经网络的原理和建立。

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  • 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。

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

    方法应用层次分析和BP神经网络法。

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  • 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。

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  • Pattern classification of flaw is carried out with BP neural network and the feature selected.

    利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。

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  • 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。

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  • 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。

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  • A pruning algorithm based on entropy theory for designing BP neural network structure is proposed.

    提出了一种基于熵理论的BP神经网络结构设计修剪算法。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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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  • 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。

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  • 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。

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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.

    比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。

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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。

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  • The results show the optimized BP neural network can effectively avoid converging on local optimum and reduce training time greatly.

    实验结果证明,优化后的BP网络可有效地避免收敛于局部最优值,大大地缩短了训练时间。

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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.

    比较了BP神经网络和RBF神经网络在非线性滤波中的性能差异。

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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的BP神经网络模型作为基分类器,进一步剔除冗余基因。

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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.

    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。

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  • 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。

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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。

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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。

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