類神經網路在光學量測方面之應用

Abstract

本論文提出兩種新的類神經網路應用於雷射脈衝特性診斷,以及點光源的定位。利用類神經網路學習以及函數逼近的功能,提出一個方式由二倍頻光譜去反推出原光場在頻域上的相位,並且提出可能實現此量測方式的實驗架構。另一方面由類神經網路學習,從一個包含點光源的圖像中告知點光源所在的位置,並以此方式結合搜索做到多數點光源的定位。

In this thesis we report two new application cases for the Artificial Neuron Network they are focus on the laser plus characterization and the locating of light spot. By using the learning ability and the function approximation, we report a method to retrace the phase in the frequency domain of the origin light field by the second harmonic generate spectrum, and also provide a possible experimental setup for realizing this measurement. On the other hand, by training Artificial Neuron Network to learn the position of a light spot within an image and combining the search method, the location of multiple light spot can be realized.