A Method for Interpolation of Fringe Orders Based on BP Neural Network
基于BP神经网络的条纹级数插值方法

Data collecting is one of the key and difficult points in automated photomechanics data processing. Especially for the fringe patterns with sparse fringes and for the areas with lower fringe orders, it forms a real difficult problem. In view of that a function can be approximated by BP neural network approach, a fringe order interpolation method based on BP neural network was explored and succeeded. The improved algorithm is much better than the traditional one in convergent speed. As an example, experiment for the interpolation of an isochromatic fringes pattern is given. The result is satisfactory.