NDLI: Design of a Novel Neural Networks Based On Rough Sets

Content Provider	IEEE Xplore Digital Library
Author	Tian Ku Wang Junsong Liu Yumin Liu Yuliang Li Jianguo
Copyright Year	2006
Description	Author affiliation: Dept. of Autom., Tianjin Univ. of Technol. & Educ., China (Tian Ku; Wang Junsong; Liu Yumin; Liu Yuliang; Li Jianguo)
Abstract	This paper proposed a novel neural network based on rough sets theory. Firstly a rule extraction method is discussed, and a set of rough rules is found from the given training data based on rough sets theory. Secondly, the structure and model of the neural network are designed according to these rules, and the training algorithm with high-precision of learning is formulated based on neural networks techniques. Compared with the conventional neural network, the proposed neural network has the following advantages: good understandability, simple computation and high-precision. Finally, a lot of numerical simulations have been conducted, and simulation results have shown that the novel neural network is feasible and efficient in function approximation. The novel neural network has great potential in the application areas of signal processing, pattern recognition, process modeling and implementation of high-precision real-time intelligent controller.
Sponsorship	IEEE Control Syst. Soc. SICE, ICASE, Harbin Inst. of Technol
Starting Page	834
Ending Page	838
File Size	4728745
Page Count	5
File Format	PDF
ISBN	7810778021
DOI	10.1109/CHICC.2006.280770
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TECH COMMITTEE ON CONTROL THEORY
Subject Keyword	Algorithm design and analysis Computational modeling Rough Sets Data mining Function approximation Neural Network Neural networks Rough sets Training data Signal processing algorithms Numerical simulation Computer networks Rules Extracted
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
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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