NDLI: A learning algorithm for radial basis function networks: with the capability of adding and pruning neurons

Content Provider	IEEE Xplore Digital Library
Author	Yi-Hsun Cheng Chun-Shin Lin
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA (Yi-Hsun Cheng; Chun-Shin Lin)
Abstract	Radial basis function networks (RBFN) have fast learning speed because of their capability of local specialization and global generalization. By allowing the use of basis functions with different sizes (covering area), locations and orientations, RBFNs behave even more powerful and require less neurons. If an algorithm can automatically add and prune neurons, the necessary number of neurons can be further reduced. In this paper, we present such an algorithm. We select the Gaussian functions as basis functions with all the above parameters adjustable. The algorithm adds new RBFs at the places having the largest errors, and prunes neurons that have insignificant contribution. With the adding and pruning capability, it is expected that developing RBFNs for high-dimensional problems will become more feasible.
Starting Page	797
Ending Page	801
File Size	411959
Page Count	5
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374280
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radial basis function networks Neurons Cost function Stochastic processes
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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