Chrome Extension
WeChat Mini Program
Use on ChatGLM

合金收得率预测及配料方案优化问题的建模与求解

刘丰瑞, 杨琳,何雨哲, 刘雨瑶,马昕

scientific and technological innovationInformation(2019)

Cited 0|Views2
No score
Abstract
随着人工智能的发展,各国钢铁企业都在探索最优的自动配料系统,合金收得率预测及成本优化算法的研究成为热点.本文建立了基于遗传算法优化的多层神经网络BP算法的收得率预测模型、 基于改进单纯形法的配料成本优化模型,利用MATLAB、LINGO软件对算例进行了求解,检验出本文模型的实用性良好.
More
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined