Optimization of RBF Neural Networks Using a Rough K-Means Algorithm and Application to Naphtha Dry Point Soft Sensors-Reference-Cited by-同舟云学术

Optimization of RBF Neural Networks Using a Rough K-Means Algorithm and Application to Naphtha Dry Point Soft Sensors

Published:2013 Issue:7 Volume:46 Page:501-508
ISSN:0021-9592
Container-title:JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
language:en
Short-container-title:J. Chem. Eng. Japan

Author:

Zhou Weihua¹,Yan Xuefeng¹,Chen Chao¹,Guo Meijin²

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology

2. State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology

Publisher

Society of Chemical Engineers, Japan

Subject

General Chemical Engineering,General Chemistry

Link

https://www.jstage.jst.go.jp/article/jcej/46/7/46_12we286/_pdf

Reference26 articles.

1. Alpaydin, E.; Introduction to Machine Learning, MIT Press, Massachusetts, U.S. (2004)

2. Broomhead, D. S. and D. Lowe; Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks, DTIC Document (1988)

3. do Prado, H., P. Engel and H. Filho; Rough Sets and Current Trends in Computing, Springer, London, U.K. (2002)

4. Gao, X., S. Gao and J. Wang; “Soft-Sensor Modeling of Polyvinyl Chloride Polymerizing Process,” J. Chem. Eng. Japan, 45, 210–218 (2012)

5. Karayiannis, N. B. and G. W. Mi; “Growing Radial Basis Neural Networks: Merging Supervised and Unsupervised Learning with Network Growth Techniques,” IEEE Trans. Neural Networks., 8, 1492–1506 (1997)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A double-layer optimization method for forging process parameters of hinge beam structure and size of intermediate billet;Journal of Mechanical Science and Technology;2023-10

2. An Improved Radial Basis Function Neuron Network Based on the l1 Regularization;International Journal of Computational Methods;2023-06-08

3. Research on failure prediction of wind turbines in offshore wind clusters;International Journal of Low-Carbon Technologies;2023

4. RBF Neural Network Soft-Sensor Modeling of Rotary Kiln Pellet Quality Indices Optimized by Biogeography-Based Optimization Algorithm;Journal of Chemical Engineering of Japan;2015