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Bringing Success and Value in Sustainable Product Development: The Eco-design Guidelines Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Research on Quantitative Evaluation of Green Property of Iron and Steel Enterprises Based on BP Neural Network

Authors : Junsong Xiao, Gang Zhao, Pengcheng Yan

Published in: Sustainable Design and Manufacturing 2020

Publisher: Springer Singapore

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Abstract

To objectively evaluate the resource efficiency and environmental impact of iron and steel enterprises, it is necessary to comprehensively evaluate the greenness of their manufacturing process. In this paper, based on the green evaluation index of iron and steel enterprises, a two-level green evaluation system derived from the manufacturing process is established, and a green evaluation and prediction model of the manufacturing process are established. Firstly, the data in the actual production process of iron and steel enterprises are normalized. The first 75% of the data is taken as the training set, and the last 25% as the test set. Then, the data set is imported into the constructed BP neural network for training. Finally, through the analysis of the training results, it can simulate the experts to evaluate the diagnosis and predict the optimized manufacturing process.

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Metadata
Title
Research on Quantitative Evaluation of Green Property of Iron and Steel Enterprises Based on BP Neural Network
Authors
Junsong Xiao
Gang Zhao
Pengcheng Yan
Copyright Year
2021
Publisher
Springer Singapore
Book
Sustainable Design and Manufacturing 2020

Print ISBN: 978-981-15-8130-4

Electronic ISBN: 978-981-15-8131-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-8131-1_44

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