本論文研究重點在於LED製作模擬日光之全頻譜檯燈，以及自動選擇物體最佳照明光，不同顏色物體在不同光照下皆呈現不同感覺，檯燈之功能是隨著被照物顏色不同而選擇不同頻譜照明光，使物體呈現的視覺效果最佳。檯燈製作由8051單晶片控制定電流驅動電路，達到LED色彩變化來模擬不同光源，研究初步調整檯燈自動變換五種不同頻譜照明光，分別為早晨光、黃金光、中午光、燭光、等能白光。照射物體並加裝感測器偵測物體表面亮度值，比較五種亮度值，系統自動選擇亮度值最大之照明光使物體呈現最佳顏色。理論研究內容在於尋找篩選光源標準，由多位受測者，測試最佳光源的選擇，經由類神經網路訓練、學習過程，能夠準確預測最佳光源，最後由最小平方法找出最合適的簡化權值，讓之後檯燈能由簡化權值計算分數，判斷最佳光源。

The key of this research is to create a LED desk lamp simulate daylight spectra and select the best lighting suitable for objects. Different color objects in different lighting will have different feeling. The desk lamp can choose different lighting with different color objects. Make objects display in best human vision. The hardware of LED desk lamp is controlled by 8051 microchip and current regulator driving circuit. Let LED can simulate different types of spectrum. We have five different spectrum initial light in desk lamp. There are morning light, gold light, noon light, candle light, equal energy white light. Lighting objects and embedded light sensor in desk lamp to measure surface luminance. Compare five different luminance values then choose the highest. The part of theory in this research is to find a way can select best lighting. From preference color experiments, we can use results to train neural network. Then find the best lighting with this network. Finally we use least-square problem to find the simplification weights. By this weights to calculate grade and choose the best lighting.

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