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Application of genetic algorithm for evaluation of quenching test by inverse task with unknown time constant of sensor

机译:遗传算法在传感器时间常数未知的逆任务评价淬火试验中的应用

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The rapidly growing need for defining and solving inverse problems has beocme apparent during the last two decades in industrial and a cademic engineering. The development of concentual ideas and practical solution methodologies has led towards complicated mathematical methods. Simultaneously with the development of traditional deterministic methods, new approaches based on methodology from artificial intelligence appear to have overcome some the limitations of deterministic methods. One can find applications of Evolutionary algorithms, Expert systems as well as Neural Networks.
机译:在过去的二十年中,工业界和学术界对定义和解决逆问题的需求迅速增长。集中思想和实际解决方法的发展导致了复杂的数学方法。与传统确定性方法的发展同时,基于人工智能方法论的新方法似乎已经克服了确定性方法的某些局限性。可以找到进化算法,专家系统以及神经网络的应用。

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