臺灣博碩士論文加值系統

中文摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VI
表目錄 VIII
第 1 章 緒論 1
1-1 研究背景 1
1-2 研究動機 2
1-3 論文架構 3
第 2 章 光學理論和設定目標 4
2-1 像差量測 4
2-2 干涉原理和干涉架構 5
2-3 波前和相位 11
2-4 波前的Zernike 多項式 11
2-5 干涉條紋公式 13
2-6 干涉儀轉換方式 13
2-7 干涉條紋轉相位 14
2-8 Zernike 多項式擬合波前 19
第 3 章 神經網路 20
3-1 CNN網路(Convolutional Neural Networks) 20
3-2 卷積層(Convolutional Layer) 20
3-3 池化層(Pooling Layer) 22
3-4 攤平層(Flatten Layer) 23
3-5 全連接層（Fully Connected Layer）23
3-6 激活函數(Activation function) 25
3-7 損失函數(Loss function) 26
3-8 Inception 層 27
3-9 GoogleNet網路 27
第 4 章 網路訓練、實測和實驗 29
4-1 設計目標設定 29
4-2 神經網路的資料集 30
4-3 各種圖片所對應係數正負號 33
4-4 神經網路的訓練 34
4-5 模型的測試 35
4-6 模型的實作 37
第 5 章 實驗結果與討論 38
5-1 Zernike 係數預測(相位和干涉條紋) 38
第 6 章 結論與未來展望 41
6-1 結論 41
6-2 未來展望 41
參考資料 43

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