| A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization |
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| 作者姓名： | 吕志军 项前 殷祥刚 杨建国 |
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| 作者单位： | [1]College of Mechanical Engineering, Donghua University, Shanghai, 200051 [2]College of Textiles, Donghua University, Shanghai, 200051 |
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| 基金项目： | This research was supported by technology innovation fund of the national economy and trade committee, People＇s Republic of China, under contract number 02LJ - 14- 05 -01 |
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| 摘 要： | The textile process planning is a knowledge reuse process in nature, which depends on the expert＇s knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundreds of the processing parameters. In fact, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to optimize the process itself. This paper presents a novel knowledge-reuse based hybrid intelligent reasoning model （HIRM） for worsted process optimization. The model architecture and reasoning mechanism are respectively described. An applied case with HIRM is given to demonstrate that the best process decision can be made, and important processing parameters such as for raw material optimized.
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| 关 键 词： | 知识再利用 混合智能推理模型 CBR ANN 毛纺 |
| 收稿时间： | 2005-01-14 |
A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization |
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| L Zhi-jun,XIANG Qian,YIN Xiang-gang,YANG Jian-guo.A Knowledge-reuse Based Intelligent Reasoning Model for Worsted Process Optimization[J].Journal of Donghua University,2006,23(1):4-7. |
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| Authors: | L Zhi-jun XIANG Qian YIN Xiang-gang YANG Jian-guo |
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| Institution: | 1. College of Mechanical Engineering, Donghua University ,Shanghai, 200051
2. College of Textiles, Donghua University, Shanghai, 200051 |
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| Abstract: | The textile process planning is a knowledge reuse process in nature, which depends on the expert's knowledge and experience. It seems to be very difficult to build up an integral mathematical model to optimize hundreds of the processing parameters. In fact, the existing process cases which were recorded to ensure the ability to trace production steps can also be used to optimize the process itself. This paper presents a novel knowledge-reuse based hybrid intelligent reasoning model (HIRM) for worsted process optimization. The model architecture and reasoning mechanism are respectively described. An applied case with HIRM is given to demonstrate that the best process decision can be made, and important processing parameters such as for raw material optimized. |
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| Keywords: | knowledge-reuse hybrid intelligent reasoning model CBR ANN wool textile process |
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