The wool textile process design depends heavily on the expert's knowledge and experience, so it seems to be very hard to build up an integral and accurate math model.
毛纺产品的工艺设计是一个严重依赖于专家知识、经验的思维过程，完整准确的数学描述显得十分困难。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model (WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
文章提出了毛纺织工艺设计智能化模型，通过基于案例(CBR)和基于规则的推理(rbr)以及人工神经网络(ANN)等关键技术的引入，提高了系统解决实际问题的能力。
With OOP technique, CTDIB, a class applied to textile image process has been constructed. The example of wool diameter testing explains how to use this class.
利用面向对象程序设计（OOP）技术构建了纺织图象处理专用类CTDIB，并且以图象法羊毛直径测试为例介绍其使用方法。
With OOP technique, CTDIB, a class applied to textile image process has been constructed. The example of wool diameter testing explains how to use this class.
利用面向对象程序设计（OOP）技术构建了纺织图象处理专用类CTDIB，并且以图象法羊毛直径测试为例介绍其使用方法。
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