A New Methodology to Predict Energy Bandgaps in GaxIn1-xAsyP1-y Compounds by ANFIS Theories
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 xIn1-xAsyP1-y quaternary compounds.
Zhiming Shi, Junhui Dong and Wen Ma
S. L. Chen and D. A. Fann, "A New Methodology to Predict Energy Bandgaps in GaxIn1-xAsyP1-y Compounds by ANFIS Theories", Advanced Materials Research, Vols. 602-604, pp. 879-882, 2013