NDLI: A novel neural-network-related approach for regression analysis with interval model

Content Provider	IEEE Xplore Digital Library
Author	Lei Huang Bai-Ling Zhang
Copyright Year	1996
Description	Author affiliation: Inst. of Radio & Autom., South China Univ. of Technol., Guangzhou, China (Lei Huang)
Abstract	We propose a new approach for interval regression using neural networks, which is different from two existing methods in the architecture of neural networks. Following the brief description of the existing neural network models and their learning algorithms for interval regression, we introduce a novel neural network model for interval regression that is a three-layer feedforward neural network with two output units, and then derive the corresponding learning algorithm. We finish some comparative experiments among three methods by means of a numerical example. Simulation results show that our approach with relatively simple network architecture can achieve approximate performance in comparison with other approaches. In addition, as an application we apply the proposed method to a real problem.
Starting Page	611
Ending Page	616
File Size	432490
Page Count	6
File Format	PDF
ISBN	0780332105
DOI	10.1109/ICNN.1996.548965
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Regression analysis Neural networks Feedforward neural networks Multi-layer neural network Power system modeling Automation Electronic mail Vectors Linear regression Linear programming
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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