本文關(guān)鍵詞：一種多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)建模方法，，由筆耕文化傳播整理發(fā)布。

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    Sensitivity Analysis of Econometric Model Using Multilayer Feedforward Network

    基于多層前饋網(wǎng)絡(luò)的計(jì)量經(jīng)濟(jì)模型敏感性分析方法

短句來(lái)源

    Multilayer feedforward network approach for econometric modeling

    一種多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)建模方法

短句來(lái)源

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

    多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型可以描述復(fù)雜的非線性經(jīng)濟(jì)現(xiàn)象,在經(jīng)濟(jì)建模中的應(yīng)用曰益廣泛。

短句來(lái)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.

    介紹了四種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,并說(shuō)明了對(duì)多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型進(jìn)行敏感性分析是一種有效識(shí)別敏感因素的方法。

短句來(lái)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.

    介紹了4種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,進(jìn)而利用靈敏度來(lái)進(jìn)行多層前饋網(wǎng)絡(luò)結(jié)構(gòu)優(yōu)化。

短句來(lái)源

    Sensitivity Analysis of Econometric Model Using Multilayer Feedforward Network

    基于多層前饋網(wǎng)絡(luò)的計(jì)量經(jīng)濟(jì)模型敏感性分析方法

短句來(lái)源

    Multilayer feedforward network approach for econometric modeling

    一種多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)建模方法

短句來(lái)源

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

    多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型可以描述復(fù)雜的非線性經(jīng)濟(jì)現(xiàn)象,在經(jīng)濟(jì)建模中的應(yīng)用曰益廣泛。

短句來(lái)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.

    介紹了四種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,并說(shuō)明了對(duì)多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型進(jìn)行敏感性分析是一種有效識(shí)別敏感因素的方法。

短句來(lái)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.

    介紹了4種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,進(jìn)而利用靈敏度來(lái)進(jìn)行多層前饋網(wǎng)絡(luò)結(jié)構(gòu)優(yōu)化。

短句來(lái)源

    Sensitivity Analysis of Econometric Model Using Multilayer Feedforward Network

    基于多層前饋網(wǎng)絡(luò)的計(jì)量經(jīng)濟(jì)模型敏感性分析方法

短句來(lái)源

    Multilayer feedforward network approach for econometric modeling

    一種多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)建模方法

短句來(lái)源

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

    多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型可以描述復(fù)雜的非線性經(jīng)濟(jì)現(xiàn)象,在經(jīng)濟(jì)建模中的應(yīng)用曰益廣泛。

短句來(lái)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.

    介紹了四種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,并說(shuō)明了對(duì)多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型進(jìn)行敏感性分析是一種有效識(shí)別敏感因素的方法。

短句來(lái)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.

    介紹了4種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,進(jìn)而利用靈敏度來(lái)進(jìn)行多層前饋網(wǎng)絡(luò)結(jié)構(gòu)優(yōu)化。

短句來(lái)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.

簡(jiǎn)要回顧前向網(wǎng)絡(luò)研究的歷史,對(duì)其中若干經(jīng)典成就做簡(jiǎn)要的介紹和評(píng)論。在對(duì)多層前向網(wǎng)絡(luò)全局最優(yōu)化問(wèn)題所涉及的幾個(gè)主要方面進(jìn)行深入剖析的基礎(chǔ)上,給出了全局最優(yōu)化算法應(yīng)具備的基本條件和一種算法格式,對(duì)所給算法格式的收斂性做了理論證明。本文指出,將數(shù)論和多元非線性回歸的有關(guān)方法和成果引入前向網(wǎng)絡(luò)研究領(lǐng)域是一個(gè)值得注意的發(fā)展趨勢(shì)。

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.

多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型可以描述復(fù)雜的非線性經(jīng)濟(jì)現(xiàn)象,在經(jīng)濟(jì)建模中的應(yīng)用曰益廣泛。而經(jīng)濟(jì)敏感性分析是一種研究經(jīng)濟(jì)的有效方法,潛在函數(shù)關(guān)系的可微性是應(yīng)用該方法的前提條件之一,其要點(diǎn)是用擬合函數(shù)的導(dǎo)數(shù)來(lái)近似潛在函數(shù)的導(dǎo)數(shù)。介紹了四種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,并說(shuō)明了對(duì)多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型進(jìn)行敏感性分析是一種有效識(shí)別敏感因素的方法。

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.

介紹了4種敏感性分析方法,給出了多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型正規(guī)化靈敏度的解析計(jì)算方法,進(jìn)而利用靈敏度來(lái)進(jìn)行多層前饋網(wǎng)絡(luò)結(jié)構(gòu)優(yōu)化。結(jié)果表明了對(duì)多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)模型進(jìn)行敏感性分析是一種有效識(shí)別敏感因素的方法。

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  本文關(guān)鍵詞：一種多層前饋網(wǎng)絡(luò)計(jì)量經(jīng)濟(jì)建模方法，由筆耕文化傳播整理發(fā)布。