Complexity 2020:1-10 (2020)

Authors
Peng Chen
Southwest University of Finance & Economics
Abstract
Coke is an indispensable and vital flue for blast furnace smelting, during which it plays a key role as a reducing agent, heat source, and support skeleton. Models of prediction of coke quality based on ANN are established to map the functional relationship between quality parameters Mt, Ad, Vdaf, St,d, and caking property of mixed coal and quality parameters Ad, St,d, coke reactivity index, and coke strength after reaction of coke. A regularized network training method based on Sigmoid function is designed considering that redundancy of network structure may lead to the learning of undesired noise, in which weights having little impact on performance and leading to overfitting are removed in terms of computational complexity and training errors. The cascade forward neural network with validation is found to be the most suitable one for coke quality prediction, with errors around 5%, followed by feedforward neural network structure and radial basis neural networks. The cascade forward neural network may play a guiding role during the coke production.
Keywords No keywords specified (fix it)
Categories No categories specified
(categorize this paper)
DOI 10.1155/2020/8785047
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 64,107
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Diabetes Prediction Using Artificial Neural Network.Nesreen Samer El_Jerjawi & Samy S. Abu-Naser - 2018 - International Journal of Advanced Science and Technology 121:54-64.
The Art of Logick; or the Entire Body of Logick in English. Unfolding to the Meanest Capacity the Way to Dispute Well, and to Refute All Fallacies Whatsoever. By Zachary Coke of Grays-Inn, Gent.Henry Ainsworth & Zachary Coke - 1653 - Printed by Robert White, for George Calvert, and Are to Be Sold at the Sign of the Half Moon in Pauls Church-Yard, Near to the Little North-Door.

Analytics

Added to PP index
2020-07-21

Total views
4 ( #1,251,152 of 2,454,628 )

Recent downloads (6 months)
1 ( #449,377 of 2,454,628 )

How can I increase my downloads?

Downloads

My notes