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Neural Network Applications in the Online Estimation for the Quality of the Continuous Casting Blank

机译:神经网络应用在网上估算中的铸造空白的质量

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According to the basic principle in the production of the continuous casting blank production, the system realizes the knowledge learining, knowledge inference and adaptive processing, applying the Back-propagation Neural Network and Kohonen Self-organized Feature Map Neural Network in the Neural Network applications after analyzing the relationship of the casting blank quality and functional elements, and accomplishes the judgment for the quality of the casting blank. This is a simulated system, consists of an outlying testing system; The Neural Net Topology of the system is a separating structure. The system topology structure reduces the complication on the knowledge learning.
机译:根据生产铸造空白生产的基本原理,系统实现了知识学习,知识推断和自适应处理,应用了后传播神经网络和Kohonen自组织特征地图神经网络之后的神经网络应用分析铸造空白质量和功能元素的关系,实现铸造空白质量的判断。这是一个模拟系统,包括偏远的测试系统;系统的神经净拓扑是分离结构。系统拓扑结构可降低知识学习的复杂性。

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