Intelligent Systems and Applications The Predictions of Luminous Intensity and Wavelength of Light-Emitting Diode by Neural Network

The aim of this research is to predict the luminous intensity and wavelength of light-emitting diode (LED) chip by using neural network technique. The data simulated was measured by electrical luminescence (EL) technique. The well trained neural model could be used to predict the optoelectronic attributes of LED chip in advance. The predicted results are expected to help the engineer can modify the parameters of epitaxy growth accurately to ensure the chip can be in conformance with the quality request.