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  本文关键词：一种多层前馈网络计量经济建模方法，，由笔耕文化传播整理发布。

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    Sensitivity Analysis of Econometric Model Using Multilayer Feedforward Network

    基于多层前馈网络的计量经济模型敏感性分析方法

短句来源

    Multilayer feedforward network approach for econometric modeling

    一种多层前馈网络计量经济建模方法

短句来源

    Multilayer feedforward network can describe the nonlinear economic phenomena of various complexities which has been widely used to perform the economic modeling.

    多层前馈网络计量经济模型可以描述复杂的非线性经济现象,在经济建模中的应用曰益广泛。

短句来源

    Four methods of sensitivity analysis were presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network was given. The applicatios have shown that sensitivity analysis to this model is an efficient tool for the identification of the sensitive factors.

    介绍了四种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,并说明了对多层前馈网络计量经济模型进行敏感性分析是一种有效识别敏感因素的方法。

短句来源

    Four methods of sensitivity analysis are presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network is given, which is used to carry out multiplayer feedforward network architecture optimization.

    介绍了4种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,进而利用灵敏度来进行多层前馈网络结构优化。

短句来源

    Sensitivity Analysis of Econometric Model Using Multilayer Feedforward Network

    基于多层前馈网络的计量经济模型敏感性分析方法

短句来源

    Multilayer feedforward network approach for econometric modeling

    一种多层前馈网络计量经济建模方法

短句来源

    Multilayer feedforward network can describe the nonlinear economic phenomena of various complexities which has been widely used to perform the economic modeling.

    多层前馈网络计量经济模型可以描述复杂的非线性经济现象,在经济建模中的应用曰益广泛。

短句来源

    Four methods of sensitivity analysis were presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network was given. The applicatios have shown that sensitivity analysis to this model is an efficient tool for the identification of the sensitive factors.

    介绍了四种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,并说明了对多层前馈网络计量经济模型进行敏感性分析是一种有效识别敏感因素的方法。

短句来源

    Four methods of sensitivity analysis are presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network is given, which is used to carry out multiplayer feedforward network architecture optimization.

    介绍了4种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,进而利用灵敏度来进行多层前馈网络结构优化。

短句来源

    Sensitivity Analysis of Econometric Model Using Multilayer Feedforward Network

    基于多层前馈网络的计量经济模型敏感性分析方法

短句来源

    Multilayer feedforward network approach for econometric modeling

    一种多层前馈网络计量经济建模方法

短句来源

    Multilayer feedforward network can describe the nonlinear economic phenomena of various complexities which has been widely used to perform the economic modeling.

    多层前馈网络计量经济模型可以描述复杂的非线性经济现象,在经济建模中的应用曰益广泛。

短句来源

    Four methods of sensitivity analysis were presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network was given. The applicatios have shown that sensitivity analysis to this model is an efficient tool for the identification of the sensitive factors.

    介绍了四种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,并说明了对多层前馈网络计量经济模型进行敏感性分析是一种有效识别敏感因素的方法。

短句来源

    Four methods of sensitivity analysis are presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network is given, which is used to carry out multiplayer feedforward network architecture optimization.

    介绍了4种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,进而利用灵敏度来进行多层前馈网络结构优化。

短句来源

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  multilayer feedforward network

The feedforward computational time of a multilayer feedforward network can be reduced by using these functions as the activation functions.

While the multilayer feedforward network is trained, the hidden-unit activations of the feedforward network are used as training material for the accompanying self-organizing maps.

The experiment shows that the image segmentation can get better result from using the multilayer feedforward network.

The multilayer feedforward network is used for image segmentation.

The application of multilayer feedforward network for image segmentation

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In this paper, a brief review is made on the research history of feedforward networks, and some classical works are introduced and remarked. A systematic analysis is given to those main respects related to the global optimization of multilayer feedforward networks, some fundamental conditions which need be met by any algorithm of global optimization are presented, a practicable algorithm of global optimization is suggested and a theoretical proof of the reasonableness and convergence of the...

In this paper, a brief review is made on the research history of feedforward networks, and some classical works are introduced and remarked. A systematic analysis is given to those main respects related to the global optimization of multilayer feedforward networks, some fundamental conditions which need be met by any algorithm of global optimization are presented, a practicable algorithm of global optimization is suggested and a theoretical proof of the reasonableness and convergence of the present algorithm is presented. The paper points out: It is a notable trend to introduce some methods and achievements of number the-ory and multivariate nonlinear regression into the research fields of feedforward networks.

简要回顾前向网络研究的历史,对其中若干经典成就做简要的介绍和评论。在对多层前向网络全局最优化问题所涉及的几个主要方面进行深入剖析的基础上,给出了全局最优化算法应具备的基本条件和一种算法格式,对所给算法格式的收敛性做了理论证明。本文指出,将数论和多元非线性回归的有关方法和成果引入前向网络研究领域是一个值得注意的发展趋势。

Multilayer feedforward network can describe the nonlinear economic phenomena of various complexities which has been widely used to perform the economic modeling. Economic sensitivity analysis is an efficient method to study the economic systems, which requires the differentiabiity of the underlying function. The essential of this technique is to use the derivatives of the fitted function to approximate the derivatives of the underlying function. Four methods of sensitivity analysis were presented, and the analytical...

Multilayer feedforward network can describe the nonlinear economic phenomena of various complexities which has been widely used to perform the economic modeling. Economic sensitivity analysis is an efficient method to study the economic systems, which requires the differentiabiity of the underlying function. The essential of this technique is to use the derivatives of the fitted function to approximate the derivatives of the underlying function. Four methods of sensitivity analysis were presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network was given. The applicatios have shown that sensitivity analysis to this model is an efficient tool for the identification of the sensitive factors.

多层前馈网络计量经济模型可以描述复杂的非线性经济现象,在经济建模中的应用曰益广泛。而经济敏感性分析是一种研究经济的有效方法,潜在函数关系的可微性是应用该方法的前提条件之一,其要点是用拟合函数的导数来近似潜在函数的导数。介绍了四种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,并说明了对多层前馈网络计量经济模型进行敏感性分析是一种有效识别敏感因素的方法。

Four methods of sensitivity analysis are presented, and the analytical computation of the normalized sensitivity of the econometric model using multilayer feedforward network is given, which is used to carry out multiplayer feedforward network architecture optimization. The applications have shown that sensitivity analysis of this model is an efficient tool for the identification of the sensitive factors.

介绍了4种敏感性分析方法,给出了多层前馈网络计量经济模型正规化灵敏度的解析计算方法,进而利用灵敏度来进行多层前馈网络结构优化。结果表明了对多层前馈网络计量经济模型进行敏感性分析是一种有效识别敏感因素的方法。

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  本文关键词：一种多层前馈网络计量经济建模方法，由笔耕文化传播整理发布。