Modified Kernel Regression Integrated with Monotonicity Knowledge and Its Application to Chemical Engineering-Reference-Cited by-同舟云学术

Modified Kernel Regression Integrated with Monotonicity Knowledge and Its Application to Chemical Engineering

Published:2014 Issue:1 Volume:47 Page:52-59
ISSN:0021-9592
Container-title:JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
language:en
Short-container-title:J. Chem. Eng. Japan

Author:

Pan Chunjian¹,Dong Yaming¹,Yan Xuefeng¹,Guo Meijin¹

Affiliation:

1. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, 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/47/1/47_13we146/_pdf

Reference18 articles.

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2. Boyd, S. and L. Vandenberghe; Convex Optimization. Cambridge University Press, Cambridge, U.K. (2004)

3. Chen, C.-W. and D.-Z. Chen; “Prior-Knowledge-Based Feedforward Network Simulation of True Boiling Point Curve of Crude Oil,” Comput. Chem., 25, 541–550 (2001)

4. Cristianini, N. and J. Shawe-Taylor; An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods. Cambridge University Press, Cambridge, U.K., (2000)

5. Gary, J. H. and G. E. Handwerk; Petroleum Refining, Technology and Economics, 4th ed., Marcel Dekker, Inc., New York, U.S.A. (2001)

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