11 July 2000 New methodology to predict energy bandgaps in GaxIn1-xAsyP1-ycompounds by ANFIS theories
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Abstract
In this paper, a novel, fast, and accurate method to predict the energy bandgap Eg in GaxIn1-xAsyP1-y quaternary compounds by using fuzzy theory and neural network is proposed. It has been developed to analyze the energy bandgap due to the adjustable ratios x and y of quaternary compounds. The prediction results are compared with experimental data obtained from actual devices. A good agreement (error < 0.75%) has been obtained on the energy bandgap versus the adjustable ratios x and y of quaternary compounds.
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ShenLi Chen, ShenLi Chen, DerAnn Fann, DerAnn Fann, } "New methodology to predict energy bandgaps in GaxIn1-xAsyP1-ycompounds by ANFIS theories", Proc. SPIE 4078, Optoelectronic Materials and Devices II, (11 July 2000); doi: 10.1117/12.392185; https://doi.org/10.1117/12.392185
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