觸控面板與我們日常生活息息相關，舉凡手機、提款機、導航系統等都可看到觸控面板的應用。而透明導電膜為觸控面板的關鍵材料之一。在製造過程中其加工參數會影響觸控面板之精確度及導電性，為了達到精確的加工品質，本研究以三種不同波長的雷射(紫外光雷射波長355nm、飛秒雷射波長800nm、二氧化碳雷射波長10640nm)來切割透明導電膜，研究不同波長的雷射切割之控制參數與品質特性之關係。
首先，利用田口方法中的直交表規劃實驗，選定透明導電膜之加工品質特性為切割後之線寬、熱影響區以及切割後所造成凸塊的大小。再依田口直交表進行實驗，實驗完成後所得到的各品質數據，依照各品質特性分別計算出信號雜訊比(Signal-to-noise ratio, S/N ratio)，再將信號雜訊比經由灰關聯生成進行數據前處理，並藉由灰關聯數據值來建構控制參數與各品質之間的關係，結合模糊推論系統整合多品質特性問題來求出最佳解，達到最佳參數水準之組合。最後使用倒傳遞類神經網路結合Levenberg-Marquardt演算法建構出預測系統來模擬實驗結果，經由實驗驗證其預測誤差均在5％以內，證明此預測系統可以有效預測雷射加工透明導電膜。

The touch panel is widely used in mobile phones, cash machines, navigation systems. The transparent conductive oxide films are one of the key materials for touch panel. The processing parameters will affect the electrical conductivity of touch panel. In this study three different laser wavelengths (UV-laser wavelength of 355nm, femtosecond laser wavelength 800nm and carbon dioxide laser wavelength 10640nm) were used to cut a transparent conductive oxide films and to obtain optimal quality characteristics of transparent conductive oxide films.
Taguchi method orthogonal array was applied to plan the experiment. The quality characteristics of transparent conductive oxide films, such as cutting width, heat affected zone and burrs, were chosen. Next signal-noise ratio (SN) and analysis of variance (ANOVA) were adopted to examine the significant factors for transparent conductive oxide films. Moreover, grey relational analysis and fuzzy inference system were used to get optimum conditions for multi-quality characteristics. Lastly, a predicting system was established to simulate the results of experiment by using back-propagation neural network with LM algorithm. For the results of experimental verification, it indicated that the prediction error is less than 5%. These reveal that the prediction system has good forecasting ability.

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