Citation: |
Li Hongli, Sun Yicai, Wang Wei, Harry Hutchinson. Neurocomputing van der Pauw function for the measurement of a semiconductor's resistivity without use of the learning rate of weight vector regulation[J]. Journal of Semiconductors, 2011, 32(12): 122002. doi: 10.1088/1674-4926/32/12/122002
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Li H L, Sun Y C, Wang W, H Hutchinson. Neurocomputing van der Pauw function for the measurement of a semiconductor's resistivity without use of the learning rate of weight vector regulation[J]. J. Semicond., 2011, 32(12): 122002. doi: 10.1088/1674-4926/32/12/122002.
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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
doi: 10.1088/1674-4926/32/12/122002
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Abstract
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. -
References
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