使用 Apriori 算法自动平衡化学方程式

Yasmin Makki Mohialden, N. M. Hussien, Walaa A Abd Al-Rada
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引用次数: 0

摘要

化学方程式必须保持平衡,以维持质量守恒。传统的化学家采用手工操作,进行细致的调查和试错迭代。随着机器学习(ML)的发展,自动化和增强这一困难的过程正变得越来越流行。我们在本文中提供了一种基于 Apriori 算法的新型化学方程式平衡方法。我们的解决方案使用 Apriori 算法查找平衡反应的常见项集,并将不平衡方程式翻译成机器可读语言。之后,它还能重建平衡方程式,将繁琐的工作自动化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated Chemical Equation Balancing Using the Apriori Algorithm
Chemical equations must be balanced to maintain mass conservation. Traditional chemists employed manual processes with meticulous investigation and trial-and-error iterations. Automating and enhancing this difficult process is becoming more popular as machine learning (ML) progresses. We provide a novel Apriori algorithm-based chemical equation balancing method in this paper. Our solution uses the Apriori algorithm to find common itemsets of balanced reactions and translates unbalanced equations into machine-readable language. After that, it reconstructs balanced equations, automating a tedious task.
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