隨機森林.
Overview
| Works: | 11 works in 11 publications in 11 languages | |
|---|---|---|
Titles
預測試管嬰兒成功率-使用隨機森林、RIPPER及決策樹資料探勘演算法 = = Using Random Forest、RIPPER and Decision Tree In Data Mining for predicting With In Vitro Fertilization Success Rate /
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利用複合式深度學習模型來預測股價 = = Stock Price Forecasting by Hybrid Deep Learning Models /
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基於卷積類神經網路發展強韌性表面瑕疵品分類技術抗雜訊旋轉縮放平移 = = Robust Surface Defects Classification Approach Using Convolutional Neural Network against Noise Corruption and Rotation-Scale-Translation /
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冷凍設備遠端故障診斷系統之建置 = = Development of a Remote Fault Diagnosis System for Freezing Equipments /
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隨機森林演算法在二元分類問題之應用 = = Application of Random Forest Algorithm in Binary Classification Problem /
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基於隨機森林之PM2.5預測系統開發 = = Development of PM2.5 Forecasting System based on Random Forest /
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投資報告書自動撰寫平台-以元宇宙概念股為例 = = Investment Report Automatic Writing Platform - Taking Metaverse Concept Stocks as an Example /
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應用大數據分析預測試管嬰兒成功率之研究 = = Application of Big data analysis on the Prediction of the IVF success rate /
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探討採樣策略對檢驗預測模型之影響 = = The Impact of Sampling Strategies on Inspection Predictive Models /
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基於雙向巢狀長短期記憶之支持向量機分類器 = = Bidirectional Nested Long short-term memory based SVM Classifier /
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基於多通道訊息的室內定位機器學習之研究 = = Research on Machine Learning for Indoor Positioning Using Multi-Channel Information /
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