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Updated: Jun 25, 2025

Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements
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可解释的人工智能:在黑胡卜粉中机器学习解释.

Krzysztof Przybył1

  • 1Department of Dairy and Process Engineering, Faculty of Food Science and Nutrition, Poznań University of Life Sciences, 31 Wojska Polskiego St., 60-624 Poznan, Poland.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括

可解释的人工智能 (XAI) 增强了对人工智能决策的理解. 这项研究使用了像决策树和随机森林这样的XAI模型来根据质地准确地识别胡卜粉末,达到96%以上的性能.

关键词:
地方可解释模型不可知论解释 (LIME)随机森林 (RF) 是一个随机的森林.黑胡的粉末 黑胡的粉末分类器集成集成的集成.可解释的人工智能 (XAI)灰色级别的同时发生矩阵 (GLCM)机器学习是机器学习.

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