Database of Mg/Si ratio, LMZBS addition amount, different sintering temperatures, times, densities, dielectric constants and test frequencies on the dielectric loss and Qxf value database of magnesium silicate salts.(調控Mg/Si比、LMZBS添加量、不同燒結溫度、時間、密度、介電常數和測試頻率對矽酸鎂鹽的介電損耗與Qxf值資料庫)
Introduction
The database is established by data mining and machine learning through the strategy of combining artificial neural networks with genetic algorithm. The learning procedure is 100,000 times, the root mean square (RMS) error is less than 0.005, and the error rate is less than 0.001.
資料庫中的數據是以資料探勘和機器學習方式，經結合基因演算與人工神經網絡的深度學習所建立。學習程序為100,000次，均方根（RMS）誤差小於0.005，誤率則小於0.001。
