加权方程英文解释翻译、加权方程的近义词、反义词、例句
英语翻译：
【计】 weighted equation
分词翻译：
加权的英语翻译：
【计】 weighting
【经】 weighting
方程的英语翻译：
equation
网络扩展解释
加权方程
拼音：jiā zhòng fāng chéng
加权方程（weighted equation）是指在某些数学模型中，含有影响因子，而导致某些变量与其他变量之间的相互作用不相等，因此需要对这些影响因子进行加权处理。加权方程经常应用于概率统计、机器学习和数据挖掘等领域。
英文解释：A weighted equation refers to a mathematical model that contains influence factors, which cause the interaction between some variables and other variables to be unequal. Therefore, these influence factors need to be weighted. Weighted equations are often used in probability statistics, machine learning, data mining, and other fields.
英文读音：wā-ti-d i-kwey-zh uh n
英文用法：Weighted equations are commonly used in statistical analysis to give more importance to certain factors or variables over others based on their level of significance. They are sometimes used in machine learning and artificial intelligence algorithms to improve the accuracy of predictions.
英文例句：The regression analysis involved multiple variables, so the researcher used a weighted equation to account for the varying levels of significance between each of the factors.（这次回归分析涉及多个变量，因此研究者使用了加权方程以考虑到每个因素之间不同的重要性水平。）
英文近义词：Weighted average, weighted mean, weighted regression.（加权平均数、加权均值、加权回归）
英文反义词：Unweighted equation, non-weighted variable.（非加权方程、非加权变量）
英文单词常用度：Weighted equation这一术语在学术领域和数据科学领域经常出现，属于常用词汇。普通日常用语中较少使用。