期刊文献+

基于人工智能的配棉与纱线质量预测系统的设计与实现 被引量:1

Design and implementation of the computer distribution technique and yarn quality prediction system based on artificial intelligence
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摘要 论述了基于人工智能的配棉与纱线质量预测系统软件的设计思想,研究了B/S结构模式下,将数据层、业务逻辑层和表示层进行封装和分离的数据保护问题。探讨了综合计算机软件和人工智能算法等多种关键技术来实现计算机自动配棉和纱线质量预测等多种功能的方法,并在ASP.Net开发平台中实现了MVC架构模式。 The design ideas of the computer distribution technique and yarn quality prediction system based on artificial intelligence is discussed, and the issue that the data service layer, business logic layer and client application layer is separated and packaged to protect the data security and on the Browser/Server Mode are also researched. The method which is a much technical comprehensive application, involving the related knowledge of the computer software design and the artificial intelligence algorithm is discussed and it can implement the function of automatic cotton assorting and yarn quality prediction. At the same time the MVC framework is implemented in the ASP.
出处 《纺织科技进展》 CAS 2008年第6期33-35,共3页 Progress in Textile Science & Technology
基金 北京市教育委员会科技发展计划面上计划(KM200610012004)
关键词 B/S模式 MVC架构模式 自动配棉 管理系统 ASP.NET平台 Browser/Server mode MVC architecture patterm yarn quality prediction management systems the platform of ASP. Net
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  • 1王立柱,赵大宇.BP神经网络的改进及应用[J].沈阳师范大学学报(自然科学版),2007,25(1):61-64. 被引量:18
  • 2[6]Sheng-Sung Yang,Chia-Lu Ho,Chien-Min Lee.HBP:Improvement in BP algorithm for an adaptive MLP decision feedback equalizer[J].IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMSII:EXPRESS BRIEFS,2006,53(3).

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