Scholarlink

Abstract <p>The effect of technological parameters on the chemical refining of gold is studied using an artificial neural network (ANN) in the Python programming language with the Keras library. The key factors affecting the technological process “Chemical Gold Refining” from the personnel side are determined. Data verification is performed using mathematical methods, and graphs illustrating neural network training results are constructed. The investigation results can be applied to automate the control of operational risks during the refining production process.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial Neural Network Evaluation of the Significance of Influence of Technological Parameters on the Chemical Refining of Gold

  • 期刊论文

  • 发表日期：

    2025年5月1日

查看全文
  • M. A. Kulikovskii,
  • E. V. Gotsulyak,
  • K. M. Kugachev,
  • S. I. Rogov

摘要

Abstract

The effect of technological parameters on the chemical refining of gold is studied using an artificial neural network (ANN) in the Python programming language with the Keras library. The key factors affecting the technological process “Chemical Gold Refining” from the personnel side are determined. Data verification is performed using mathematical methods, and graphs illustrating neural network training results are constructed. The investigation results can be applied to automate the control of operational risks during the refining production process.