基于温度测量实验的生物质热解行为预测:在Scikit-learn中比较典型的机器学习回归模型
Yu Zhong1, Fahang Liu2, Guozhe Huang2
1Faculty of Engineering, China University of Geosciences, Wuhan 430074, China; Institute for Natural Disaster Risk Prevention and Emergency Management, China University of Geosciences, Wuhan 430074, China.
Marine pollution bulletin
|April 18, 2024
概括
随机森林 (RF) 模型是使用热重力测量数据预测生物质热解行为最优的. 射频在确定动力学和热力学参数方面表现出卓越的解释性和准确性,其中温度和加热速率是关键因素.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 计算科学 计算科学
背景情况:
- 机器学习 (ML) 模型越来越多地用于生物质热解预测,因为它们能够建模复杂的关系.
- 关于这个应用程序的最佳ML方法论存在缺乏共识.
研究的目的:
- 开发,优化和评估人工神经网络,随机森林 (RF) 和支持生物质热解预测的矢量机器.
- 使用热重力测量数据来确定最准确的ML模型.
- 评估ML衍生的热数据对于动力和热力学参数计算的实用性.
主要方法:
- 开发和比较三个ML模型:人工神经网络,射频和支持矢量机器.
- 使用热重力测量数据作为模型训练和预测的输入.
- 统计绩效分析和特征重要性评估.
主要成果:
- 射频模型显示出卓越的物理解释性和预测动力学和热力学参数的最小差异.
- 温度和加热率被确定为最重要的特征,分别占预测功率的98.5%和1.5%.
结论:
- 射频模型是准确预测生物质热解和动力/热力学分析的首选方法.
- 热重力测量数据与射频建模相结合,为生物质热解过程提供了宝贵的见解.
相关概念视频
01:19Survival Tree
84
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
84
01:25Multiple Regression
3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K