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Similarities of high and low levels of production with respect to assignments and solution techniques

机译:在分配和解决方案技术方面的高低水平的高度和低水平的相似之处

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This paper highlights similarities between higher and lower levels of production, focusing on assignments and solution techniques. Various production levels are examined with respect to several aspects (complexity of relations, large number of parameters) and typical generic tasks ("classical" modelling, problem solving, optimization and submodel decomposition). For each issue, the paper high-lights that due to similarities, the same classes of methods based on artificial neural networks (ANN) can be used for different levels of production, outlining a uniform approach.
机译:本文突出了高于和较低的生产之间的相似性,专注于分配和解决方案技术。针对几个方面(关系的复杂性,大量参数)和典型的通用任务(“经典”建模,问题解决,优化和子模型分解)检查各种生产水平。对于每个问题,纸张高灯,由于相似性,基于人工神经网络(ANN)的相同类别的方法可用于不同的生产水平,概述均匀的方法。

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