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A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN
Joint Authors
Qiu, Yuanying
Kong, Xianguang
Chang, Jiantao
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-03
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Output prediction is one of the difficult issues in production management.
To overcome this difficulty, a dynamic-improved multiple linear regression model based on parameter evaluation using discrete Hopfield neural networks (DHNN) is presented.
First, a traditional multiple linear regression model is established; this model takes the factors in production lifecycle (not only one phase of the production) into account, such as manufacturing resources, manufacturing process, and product rejection rate, so it makes the output prediction be more accurate.
Then a static-improved model is built using the backstepping method.
Finally, we obtain the dynamic-improved model based on parameter evaluation using DHNN.
These three models are applied to an aviation manufacturing enterprise based on the actual data, and the results of the output prediction show that the models have practical value.
American Psychological Association (APA)
Chang, Jiantao& Qiu, Yuanying& Kong, Xianguang. 2013. A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-481786
Modern Language Association (MLA)
Chang, Jiantao…[et al.]. A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN. Journal of Applied Mathematics No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-481786
American Medical Association (AMA)
Chang, Jiantao& Qiu, Yuanying& Kong, Xianguang. A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-481786
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481786