https://scholars.tari.gov.tw/handle/123456789/18252| Title: | 隨機森林的理論及應用範例說明 | Other Titles: | The Theory and Illustration of Application of Random Forest | Authors: | 林詠淳 康樂 郭寶錚 Lin, Yung-chun Le Kang Kuo, Bo-jein |
Keywords: | 機器學習;隨機森林;資料分析;Machine learning;Random forest;Data analysis | Issue Date: | Mar-2020 | Publisher: | 台灣農藝學會、中華農業氣象學會 | Journal Volume: | 17 | Journal Issue: | 1 | Start page/Pages: | 1-12 | Source: | 作物、環境與生物資訊 | Abstract: | 隨著大據時代的來臨，如何從大量的資料中萃取出有價值的訊息顯得格外重要，因此發展出一套能透過樣本訓練機器辨識和學習的機器學習演算法，來有效處理日益繁雜的大量資料。 Ｗith the advent of big data generation, it is and important task to extract valuable information from a large amount of data. Therefore, different types of machine learning algorithms that can train machine recognition and learning from samples have been developed. |
URI: | https://scholars.tari.gov.tw/handle/123456789/18252 | ISSN: | 1181-7406 | DOI: | 10.30061/CEB.202001_17(1).001 |
| Appears in Collections: | 作物組 |
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