A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/572635 |
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| _version_ | 1832555892918190080 |
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| author | Jiantao Chang Yuanying Qiu Xianguang Kong |
| author_facet | Jiantao Chang Yuanying Qiu Xianguang Kong |
| author_sort | Jiantao Chang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-f074932ba0b74c1bab7fd5dfdc0bed89 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-f074932ba0b74c1bab7fd5dfdc0bed892025-02-03T05:46:58ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/572635572635A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNNJiantao Chang0Yuanying Qiu1Xianguang Kong2Key Laboratory of Electronic Equipment Structure Design (Xidian University), Ministry of Education, Xi'an 710071, ChinaKey Laboratory of Electronic Equipment Structure Design (Xidian University), Ministry of Education, Xi'an 710071, ChinaKey Laboratory of Electronic Equipment Structure Design (Xidian University), Ministry of Education, Xi'an 710071, ChinaOutput 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.http://dx.doi.org/10.1155/2013/572635 |
| spellingShingle | Jiantao Chang Yuanying Qiu Xianguang Kong A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN Journal of Applied Mathematics |
| title | A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN |
| title_full | A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN |
| title_fullStr | A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN |
| title_full_unstemmed | A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN |
| title_short | A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN |
| title_sort | novel output prediction method in production management based on parameter evaluation using dhnn |
| url | http://dx.doi.org/10.1155/2013/572635 |
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