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Resear On Prediction And Evaluation System Of Fabric Drape Performance

Posted on:2009-10-14Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhangFull Text:PDF
GTID:2121360272478858Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of computer and network technology, the element knowledge of fashion design has become easier to obtain. As an important impact on the aesthetic factor, the performance of fabric drape is directly related to the fashion design decision. According to the test data to establish the system which can predict and evaluate fabric drape indexes automatically, it is very necessary to develop new types of fibers, improve the fabric design , enhance fabric drape performance and aesthetic value for manufactory and scientific research units.Based on current situation and demand of the existing fabric drape test and evaluation system, combined with garment and textiles professional knowledge and software engineering design idea, this paper which takes the process of fabric drape prediction and evaluation as center, discusses the overall architecture analysis and design of system, the establishment of background database, the implementation of function algorithms, as well as the detailed design process of system and the process of system implementation.This article discusses both algorithms of the drape performance prediction and fuzzy clustering evaluation. The BP prediction algorithm based on additional momentum and adaptive learning rate was determined by training and predicting 50 groups of fabric sample data. And finally, the results prove the validation of the algorithms and implement the non-line parameters prediction from fabric specifications to the drape performance; In the system of fuzzy clustering evaluation, this article emphatically discusses on the noise point of the FCM fuzzy clustering algorithm, introduces FPCM fuzzy clustering algorithm to inhibit errors aroused from a variety of unfavorable factors. Measured data shows that the accuracy of prediction algorithm is higher, and cluster analysis has a good consistency with the results of subjective evaluation.The establishment of Fabric Drape Performance Prediction and Evaluation System based on B/S(Browser / Server)architecture will simplify the process of drape testing and evaluation consumedly, realizes the query of fibers,yarn and fabric related performance, as well as the prediction from fabric organization structure parameters to fabric drape indexes and finally realizes fabric drape objectively and completely evaluated.
Keywords/Search Tags:Drape performance, BP prediction, Evaluation, Fuzzy Possibilistic C-Means Clustering algorithm
PDF Full Text Request
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