论文阐述了智能质量管理系统中智能判定子系统、自定义质量检验子系统、报表系统和预测质量控制子系统的设计和实现。
It presented wisdom judging subsystem in wisdom quality management systems, the self-defined test subsystem, report system and the design and achievement of predicting quality control subsystem.
通过设计模型训练检验和预测评估，说明设计模型是稳定的，其速度和精度都高于现有的经验方法和数值方法。
The design model is proved to be steady by the training testing and prediction appraising, and the speed and precision of which are better than the current experiential methods and numerical methods.
介绍了用BP网络来测试纱线强力的方法，通过对神经网络的训练可以快速预测到纱线的强力，在生产实践中，可以用来检验或设计纱线。
The method to inspect the strength of the yarn with BP-net is discussed, the result can be got quickly by training the Nerve-net. As a result, we can apply it to calculate or design yarn in practice.
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