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Neurocomputing van der Pauw function for the measurement of a semiconductor’s resistivity without use of the learning rate of weight vector regulation

机译:神经计算范德鲍函数,无需使用权重向量调节的学习率即可测量半导体的电阻率

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摘要

Van der Pauw’s function is often used in the measurement of a semiconductor’s resistivity. However, it is difficult to obtain its value from voltage measurements because it has an implicit form. If it can be expressed as a polynomial, a semiconductor’s resistivity can be obtained from such measurements. Normally, five orders of the abscissa can provide sufficient precision during the expression of any non-linear function. Therefore, the key is to determine the coefficients of the polynomial. By taking five coefficients as weights to construct a neuronetwork, neurocomputing has been used to solve this problem. Finally, the polynomial expression for van der Pauw’s function is obtained.
机译:Van der Pauw的功能通常用于测量半导体的电阻率。但是,由于它具有隐式形式,因此很难从电压测量中获得其值。如果可以将其表示为多项式,则可以从此类测量中获得半导体的电阻率。通常,在表达任何非线性函数时,五个横坐标可以提供足够的精度。因此,关键是确定多项式的系数。通过将五个系数作为权重来构建神经网络,神经计算已用于解决此问题。最后,获得范德堡函数的多项式表达式。

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