[机器学习集体预测模型的构建,用于不同极性的静止相上的气色谱保留指数]
Qian-Yi Wang1, Yong-le Zhu1, Xue-Hua Li1
1Key Laboratory of Industrial Ecology and Environmental Engineering, Ministry of Education, School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.
一个新的模型使用机器学习准确地预测气色谱保留指数 (RI) 跨不同的极性. 这种工具增强了复杂混合物中的化合物识别,提高了分析效率.
科学领域:
- 分析化学 分析化学
- 计算化学计算化学
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