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APPLICATION OF ARTIFICIAL-INTELLIGENCE METHODS FOR PREDICTION OF STEEL MECHANICAL PROPERTIES

机译:人工智能方法在钢力学性能预测中的应用

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摘要

The target of the contribution is to outline possibilities of applying artificial neural networks for the prediction of mechanical steel properties after heat treatment and to judge their perspective use in this field. The achieved models enable the prediction of final mechanical material properties on the basis of decisive parameters influencing these properties. By applying artificial intelligence methods in combination with mathematic-physical analysis methods it will be possible to create facilities for designing a system of the continuous rationalization of existing and also newly developing industrial technologies.
机译:贡献的目标是概述应用人工神经网络预测热处理后的机械钢性能的可能性,并判断其在该领域的应用前景。所获得的模型能够根据影响这些性能的决定性参数来预测最终的机械材料性能。通过将人工智能方法与数学物理分析方法相结合,将有可能创建设施,以设计一种不断合理化现有和新兴工业技术的系统。

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