Performance assessment based on BP neural networks in knowledge-based companies

Li Zhang; Lu Wang; Yezhuang Tian

doi:10.1109/WCICA.2008.4593016

Performance assessment based on BP neural networks in knowledge-based companies

Li Zhang^*
, Lu Wang
, Yezhuang Tian

^*Corresponding author for this work

School of Management, Harbin Institute of Technology

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

5 Scopus citations

Abstract

This paper evaluates the performance in knowledge-based companies by using back propagation (BP) neural networks. Based on the theory and methods on performance, this paper presents the variables to evaluate performance in knowledge-based companies. With the application of BP neural networks, this paper constructs a model and describes the steps to use BP neural networks in performance assessment. By using matlab 6.0, this paper conducts the empirical study to evaluate performance in 30 knowledge-based companies. The results show that BP neural network is important to evaluate the current performance and forecast the future performance. The purpose of this study is to find effective methods to evaluate performance in knowledge-based companies.

Original language	English
Title of host publication	Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages	755-759
Number of pages	5
DOIs	https://doi.org/10.1109/WCICA.2008.4593016
State	Published - 2008
Externally published	Yes
Event	7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China Duration: 25 Jun 2008 → 27 Jun 2008

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference	7th World Congress on Intelligent Control and Automation, WCICA'08
Country/Territory	China
City	Chongqing
Period	25/06/08 → 27/06/08

Keywords

BP neural networks
Knowledge-based companies
Performance assessment

Access to Document

10.1109/WCICA.2008.4593016

Cite this

@inproceedings{fc20376e17ed433b849e2c96fcff9779,

title = "Performance assessment based on BP neural networks in knowledge-based companies",

abstract = "This paper evaluates the performance in knowledge-based companies by using back propagation (BP) neural networks. Based on the theory and methods on performance, this paper presents the variables to evaluate performance in knowledge-based companies. With the application of BP neural networks, this paper constructs a model and describes the steps to use BP neural networks in performance assessment. By using matlab 6.0, this paper conducts the empirical study to evaluate performance in 30 knowledge-based companies. The results show that BP neural network is important to evaluate the current performance and forecast the future performance. The purpose of this study is to find effective methods to evaluate performance in knowledge-based companies.",

keywords = "BP neural networks, Knowledge-based companies, Performance assessment",

author = "Li Zhang and Lu Wang and Yezhuang Tian",

year = "2008",

doi = "10.1109/WCICA.2008.4593016",

language = "英语",

isbn = "9781424421145",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "755--759",

booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",

note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",

}

Zhang, L, Wang, L & Tian, Y 2008, Performance assessment based on BP neural networks in knowledge-based companies. in Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08., 4593016, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), pp. 755-759, 7th World Congress on Intelligent Control and Automation, WCICA'08, Chongqing, China, 25/06/08. https://doi.org/10.1109/WCICA.2008.4593016

Performance assessment based on BP neural networks in knowledge-based companies. / Zhang, Li; Wang, Lu; Tian, Yezhuang.
Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08. 2008. p. 755-759 4593016 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)).

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

TY - GEN

T1 - Performance assessment based on BP neural networks in knowledge-based companies

AU - Zhang, Li

AU - Wang, Lu

AU - Tian, Yezhuang

PY - 2008

Y1 - 2008

N2 - This paper evaluates the performance in knowledge-based companies by using back propagation (BP) neural networks. Based on the theory and methods on performance, this paper presents the variables to evaluate performance in knowledge-based companies. With the application of BP neural networks, this paper constructs a model and describes the steps to use BP neural networks in performance assessment. By using matlab 6.0, this paper conducts the empirical study to evaluate performance in 30 knowledge-based companies. The results show that BP neural network is important to evaluate the current performance and forecast the future performance. The purpose of this study is to find effective methods to evaluate performance in knowledge-based companies.

AB - This paper evaluates the performance in knowledge-based companies by using back propagation (BP) neural networks. Based on the theory and methods on performance, this paper presents the variables to evaluate performance in knowledge-based companies. With the application of BP neural networks, this paper constructs a model and describes the steps to use BP neural networks in performance assessment. By using matlab 6.0, this paper conducts the empirical study to evaluate performance in 30 knowledge-based companies. The results show that BP neural network is important to evaluate the current performance and forecast the future performance. The purpose of this study is to find effective methods to evaluate performance in knowledge-based companies.

KW - BP neural networks

KW - Knowledge-based companies

KW - Performance assessment

UR - https://www.scopus.com/pages/publications/52149098503

U2 - 10.1109/WCICA.2008.4593016

DO - 10.1109/WCICA.2008.4593016

M3 - 会议稿件

AN - SCOPUS:52149098503

SN - 9781424421145

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 755

EP - 759

BT - Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08

T2 - 7th World Congress on Intelligent Control and Automation, WCICA'08

Y2 - 25 June 2008 through 27 June 2008

ER -

Performance assessment based on BP neural networks in knowledge-based companies

Abstract

Publication series

Conference

Keywords

Access to Document

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