Abstract: A method of building a set of experimental prediction model that requires fewer experimental frequency, shorter prediction time and higher prediction accuracy by using the advantages of combining the experimental data of Taguchi method and neural network learning is disclosed. The error between the experimentally measured result of photolithography and the simulated result of the theoretical model of near field photolithography is set as an objective function of an inverse method for back calculating fiber probe aperture size, which is adopted in the following Taguchi experiment. The analytical result of Taguchi neural network model of the present invention proves that the Taguchi neural network model can provide more accurate prediction result than the conventional Taguchi network model, and at the same time, improve the demerit of requiring massive training examples of the conventional neural network.

Abstract: A non-destructive method to inverse-calculate a fiber probe aperture size, and a prediction method of the simulation and fabrication profile of near field photolithography are provided. The error between an experimental result of the photolithography and a simulation result of the theoretical model of near field photolithography is set as an objective function to inverse-calculate a fiber probe aperture size that can match with the photolithography experiment and the theoretical model of near field photolithography. Finally, by comparing the fabrication profile of the photolithography experiment and that of the simulation result of the inverse-calculated fiber probe aperture size, it is verified that the inverse-calculated fiber probe aperture size is reasonable and acceptable.

Abstract: A method of building a set of experimental prediction model that requires fewer experimental frequency, shorter prediction time and higher prediction accuracy by using the advantages of combining the experimental data of Taguchi method and neural network learning is disclosed. The error between the experimentally measured result of photolithography and the simulated result of the theoretical model of near field photolithography is set as an objective function of an inverse method for back calculating fiber probe aperture size, which is adopted in the following Taguchi experiment. The analytical result of Taguchi neural network model of the present invention proves that the Taguchi neural network model can provide more accurate prediction result than the conventional Taguchi network model, and at the same time, improve the demerit of requiring massive training examples of the conventional neural network.

Abstract: A non-destructive method to inverse-calculate a fiber probe aperture size, and a prediction method of the simulation and fabrication profile of near field photolithography are provided. The error between an experimental result of the photolithography and a simulation result of the theoretical model of near field photolithography is set as an objective function to inverse-calculate a fiber probe aperture size that can match with the photolithography experiment and the theoretical model of near field photolithography. Finally, by comparing the fabrication profile of the photolithography experiment and that of the simulation result of the inverse-calculated fiber probe aperture size, it is verified that the inverse-calculated fiber probe aperture size is reasonable and acceptable.