Scientific research project budget estimate method based on GA-BP neural network

Guoxin Wang; Yilin Wang; Yan Yan

doi:10.3969/j.issn.0253-374x.2014.08.025

Scientific research project budget estimate method based on GA-BP neural network

Guoxin Wang^*, Yilin Wang, Yan Yan

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

An analysis was made of the component and influencing factors of research budget. Then, a research budget estimate model based on Genetic Algorithm-Back Propagation (GA-BP) neural network was built, of which, GA was used to optimize the weights and thresholds of BP neural network. A nonlinear expression between influencing factors (input) and the budget (output) was created. The effectiveness of the method was tested. Test results show the model based on GA-BP neural network is reliable and accurate.

源语言	英语
页（从-至）	1298-1304
页数	7
期刊	Tongji Daxue Xuebao/Journal of Tongji University
卷	42
期	8
DOI	https://doi.org/10.3969/j.issn.0253-374x.2014.08.025
出版状态	已出版 - 1 8月 2014

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abstract = "An analysis was made of the component and influencing factors of research budget. Then, a research budget estimate model based on Genetic Algorithm-Back Propagation (GA-BP) neural network was built, of which, GA was used to optimize the weights and thresholds of BP neural network. A nonlinear expression between influencing factors (input) and the budget (output) was created. The effectiveness of the method was tested. Test results show the model based on GA-BP neural network is reliable and accurate.",

keywords = "Back Propagation (BP) neural network, Budget model, Genetic algorithm, Scientific research project",

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AU - Wang, Yilin

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N2 - An analysis was made of the component and influencing factors of research budget. Then, a research budget estimate model based on Genetic Algorithm-Back Propagation (GA-BP) neural network was built, of which, GA was used to optimize the weights and thresholds of BP neural network. A nonlinear expression between influencing factors (input) and the budget (output) was created. The effectiveness of the method was tested. Test results show the model based on GA-BP neural network is reliable and accurate.

AB - An analysis was made of the component and influencing factors of research budget. Then, a research budget estimate model based on Genetic Algorithm-Back Propagation (GA-BP) neural network was built, of which, GA was used to optimize the weights and thresholds of BP neural network. A nonlinear expression between influencing factors (input) and the budget (output) was created. The effectiveness of the method was tested. Test results show the model based on GA-BP neural network is reliable and accurate.

KW - Back Propagation (BP) neural network

KW - Budget model

KW - Genetic algorithm

KW - Scientific research project

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JO - Tongji Daxue Xuebao/Journal of Tongji University

JF - Tongji Daxue Xuebao/Journal of Tongji University

IS - 8

ER -

Scientific research project budget estimate method based on GA-BP neural network

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