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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Research and Application of A Integrated System
—Textile Smart ProcessUsing ANN combined with CBR
verfasst von : Xianggang YIN, Weidong YU*
Erschienen in: Advances in Systems, Computing Sciences and Software Engineering
Verlag: Springer Netherlands
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In this pqper, the disadvantages and advantages of artificial neural networks (ANNs) and Case-base Reasoning (CBR) have been briefly introduced respectively. The capacity of network can be Improved through the mechanisum of CBR in the dynamic processing environment. And the limitation of CBR, that could not complete their reasoning process and propose a solution to a given task without intervention of experts, can be strong self-learning ability of ANN. The combination of these two artificial intelligent techniques not only benefits to control the quality and enhance the efficiency, but also to shorten the design cycle and save the cost, which paly an important role in promoting the intelligentized level of the textile industry. At the same time, utilizing ANN prediciting model, the sensitive process variables that affect the processing performances and quality of yarn and fabric can be decided, which are often adjusted during solving the new problems to form the desired techniques.