湿度与温度关系的非线性回归与二分法数值分析

L. Alfaris, Ruben Cornelius Siagian, Budiman Nasution, Goldberd Harmuda Duva Sinaga, Indah Indah
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引用次数: 0

摘要

本文利用印尼西爪哇省古宁安地区的气候资料,采用非线性回归和等分法的数值分析方法,对气温和湿度的相关性进行了研究。在对印尼教育课程的研究中,大多数研究的都是线性回归,但只是在一定的范围内,即线性和多元。在分析中使用非线性回归的学生仍然很少。本文将解释在数值分析中使用非线性回归作为数据和方程的来源的分析,以便它可以应用于数值对分法的背景下。在数据处理和数值分析方面,使用了Microsoft Excel。将非线性分析中的两个变量结合起来,利用几何方程进行数值商分析。作者展示了从数据源“数据访问查看器NASA”获得的数值图形和实时数据的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Linear Regresion And Bisection Method Numerical Analysis of Humidity And Temperature Relationships
This study aims to analyze the correlation of temperature and humidity based on climatological data from Kuningan, West Java province, Indonesia, using non-linear regression and numerical analysis using the bisection method. In studying the education curriculum in Indonesia, most of them have studied linear regression, but only within certain limits, namely linear and multiple. It is still rare for students to use non-linear regression in their analysis. This paper will explain the analysis using non-linear regression as a source of data and equations in numerical analysis so that it can be applied in the context of the numerical bisection method. As for data processing and numerical analysis, Microsoft Excel is used. The authors combined the two variables in the non-linear analysis and used geometric equations for the numerical quotient analysis. The author displays the results of numerical graphs and real-time data obtained from the source "Data access viewer NASA."
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