Scientific research project cost estimating method and system based on improved BP neural network

Yi Lin Wang; Guo Xin Wang; Yan Yan

doi:10.4028/www.scientific.net/AMR.756-759.1696

Scientific research project cost estimating method and system based on improved BP neural network

Yi Lin Wang, Guo Xin Wang, Yan Yan

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Traditional scientific research project cost estimating method cannot meet accuracy and practicability at the same time. Aiming at this problem, scientific research project cost estimating method based on neural network was built. Firstly, the construction and influencing factors of scientific research project cost were analyzed. Secondly, an estimating model based on improved BP neural network was built; a nonlinear expression between influencing factors (input) and cost (output) was created. Finally, an estimating system with the model was implemented by Java. The effectiveness of the method was tested. Testing experiment showed the estimating model based on improved BP neural network is reliable and the precision is high.

Original language	English
Title of host publication	Information Technology Applications in Industry, Computer Engineering and Materials Science
Pages	1696-1700
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMR.756-759.1696
Publication status	Published - 2013
Event	3rd International Conference on Materials Science and Information Technology, MSIT 2013 - Nanjing, Jiangsu, China Duration: 14 Sept 2013 → 15 Sept 2013

Publication series

Name	Advanced Materials Research
Volume	756-759
ISSN (Print)	1022-6680

Conference

Conference	3rd International Conference on Materials Science and Information Technology, MSIT 2013
Country/Territory	China
City	Nanjing, Jiangsu
Period	14/09/13 → 15/09/13

Keywords

Cost estimating model
Improved BP neural network
Scientific research project

Access to Document

10.4028/www.scientific.net/AMR.756-759.1696

Cite this

Wang, Y. L., Wang, G. X., & Yan, Y. (2013). Scientific research project cost estimating method and system based on improved BP neural network. In Information Technology Applications in Industry, Computer Engineering and Materials Science (pp. 1696-1700). (Advanced Materials Research; Vol. 756-759). https://doi.org/10.4028/www.scientific.net/AMR.756-759.1696

@inproceedings{71963679ff714d28a8b24864e15f41bf,

title = "Scientific research project cost estimating method and system based on improved BP neural network",

abstract = "Traditional scientific research project cost estimating method cannot meet accuracy and practicability at the same time. Aiming at this problem, scientific research project cost estimating method based on neural network was built. Firstly, the construction and influencing factors of scientific research project cost were analyzed. Secondly, an estimating model based on improved BP neural network was built; a nonlinear expression between influencing factors (input) and cost (output) was created. Finally, an estimating system with the model was implemented by Java. The effectiveness of the method was tested. Testing experiment showed the estimating model based on improved BP neural network is reliable and the precision is high.",

keywords = "Cost estimating model, Improved BP neural network, Scientific research project",

author = "Wang, {Yi Lin} and Wang, {Guo Xin} and Yan Yan",

year = "2013",

doi = "10.4028/www.scientific.net/AMR.756-759.1696",

language = "English",

isbn = "9783037857700",

series = "Advanced Materials Research",

pages = "1696--1700",

booktitle = "Information Technology Applications in Industry, Computer Engineering and Materials Science",

note = "3rd International Conference on Materials Science and Information Technology, MSIT 2013 ; Conference date: 14-09-2013 Through 15-09-2013",

}

Wang, YL, Wang, GX & Yan, Y 2013, Scientific research project cost estimating method and system based on improved BP neural network. in Information Technology Applications in Industry, Computer Engineering and Materials Science. Advanced Materials Research, vol. 756-759, pp. 1696-1700, 3rd International Conference on Materials Science and Information Technology, MSIT 2013, Nanjing, Jiangsu, China, 14/09/13. https://doi.org/10.4028/www.scientific.net/AMR.756-759.1696

Scientific research project cost estimating method and system based on improved BP neural network. / Wang, Yi Lin; Wang, Guo Xin; Yan, Yan.
Information Technology Applications in Industry, Computer Engineering and Materials Science. 2013. p. 1696-1700 (Advanced Materials Research; Vol. 756-759).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Scientific research project cost estimating method and system based on improved BP neural network

AU - Wang, Yi Lin

AU - Wang, Guo Xin

AU - Yan, Yan

PY - 2013

Y1 - 2013

N2 - Traditional scientific research project cost estimating method cannot meet accuracy and practicability at the same time. Aiming at this problem, scientific research project cost estimating method based on neural network was built. Firstly, the construction and influencing factors of scientific research project cost were analyzed. Secondly, an estimating model based on improved BP neural network was built; a nonlinear expression between influencing factors (input) and cost (output) was created. Finally, an estimating system with the model was implemented by Java. The effectiveness of the method was tested. Testing experiment showed the estimating model based on improved BP neural network is reliable and the precision is high.

AB - Traditional scientific research project cost estimating method cannot meet accuracy and practicability at the same time. Aiming at this problem, scientific research project cost estimating method based on neural network was built. Firstly, the construction and influencing factors of scientific research project cost were analyzed. Secondly, an estimating model based on improved BP neural network was built; a nonlinear expression between influencing factors (input) and cost (output) was created. Finally, an estimating system with the model was implemented by Java. The effectiveness of the method was tested. Testing experiment showed the estimating model based on improved BP neural network is reliable and the precision is high.

KW - Cost estimating model

KW - Improved BP neural network

KW - Scientific research project

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U2 - 10.4028/www.scientific.net/AMR.756-759.1696

DO - 10.4028/www.scientific.net/AMR.756-759.1696

M3 - Conference contribution

AN - SCOPUS:84886490262

SN - 9783037857700

T3 - Advanced Materials Research

SP - 1696

EP - 1700

BT - Information Technology Applications in Industry, Computer Engineering and Materials Science

T2 - 3rd International Conference on Materials Science and Information Technology, MSIT 2013

Y2 - 14 September 2013 through 15 September 2013

ER -

Scientific research project cost estimating method and system based on improved BP neural network

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Keywords

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