On the training of radial basis function classifiers

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On the training of radial basis function classifiers

Source

Neural Networks archive
Volume 5 , Issue 4 (July-Aug. 1992) table of contents

Pages: 595 - 603

Year of Publication: 1992

ISSN:0893-6080

Authors

M. T. Musavi
W. Ahmed
K. H. Chan
K. B. Faris
D. M. Hummels

Publisher

Elsevier Science Ltd. Oxford, UK, UK

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 28

Additional Information:

cited by index terms collaborative colleagues

Tools and Actions:	Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	10.1016/S0893-6080(05)80038-3

CITED BY 28

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	David Casasent , Xue-wen Chen, Radial basis function neural networks for nonlinear Fisher discrimination and Neyman—Pearson classification, Neural Networks, v.16 n.5-6, p.529-535, June 2003
	Alex Alexandridis , Haralambos Sarimveis , George Bafas, A new algorithm for online structure and parameter adaptation of RBF networks, Neural Networks, v.16 n.7, p.1003-1017, September 2003
	Ganka Petkova Kovacheva , Hidemitsu Ogawa, Radial basis function classifier for fault diagnostics, Proceedings of the 1st international symposium on Information and communication technologies, September 24-26, 2003, Dublin, Ireland
	Nabil Benoudjit , Michel Verleysen, On the Kernel Widths in Radial-Basis Function Networks, Neural Processing Letters, v.18 n.2, p.139-154, October 2003
	M. T. Musavi , K. H. Chan , D. M. Hummels , K. Kalantri, On the Generalization Ability of Neural Network Classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.16 n.6, p.659-663, June 1994
	Patricio Garcia Báez , Pablo Fernández López , Carmen Paz Suárez Araujo, A parametric study of HUMANN in relation to the noise: application for the identification of compounds of environmental interest, Systems Analysis Modelling Simulation, v.43 n.9, p.1213-1228, September 2003
	Junhong Liu , Jouni Lampinen, A differential evolution based incremental training method for RBF networks, Proceedings of the 2005 conference on Genetic and evolutionary computation, June 25-29, 2005, Washington DC, USA
	A. Hajiha , S. H. Alavi , P. Makvandi, Improving behavioral based job assignment by using radial basis function network, Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation, p.64-69, August 21-23, 2006, Elounda, Crete Island, Greece
	Maarouf Saad , Guillaume Latombe , Karnon Suen , Vahé Nerguizian, Mobile robot navigation and obstacle avoidance using fuzzy radial basis function neural networks, Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing and Control, p.1-9, April 25-27, 2005, Rio de Janeiro, Brazil
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	Chih-Ming Chen , Hahn-Ming Lee , Chia-Chen Tan, An intelligent web-page classifier with fair feature-subset selection, Engineering Applications of Artificial Intelligence, v.19 n.8, p.967-978, December, 2006
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	Lu Yingwei , N. Sundararajan , P. Saratchandran, A sequential learning scheme for function approximation using minimal radial basis function neural networks, Neural Computation, v.9 n.2, p.461-478, Feb. 15, 1997
	Alberto Guillén , Ignacio Rojas , Jesús González , Héctor Pomares , L. J. Herrera , O. Valenzuela , F. Rojas, Output value-based initialization for radial basis function neural networks, Neural Processing Letters, v.25 n.3, p.209-225, June 2007
	Weiling Cai , Songcan Chen , Daoqiang Zhang, Robust fuzzy relational classifier incorporating the soft class labels, Pattern Recognition Letters, v.28 n.16, p.2250-2263, December, 2007
	U. Meyer-Bäse , A. Meyer-Bäse , J. Mellott , F. Taylor, A Fast Modified CORDIC—Implementation of Radial Basis Neural Networks, Journal of VLSI Signal Processing Systems, v.20 n.3, p.211-218, Dec. 1998
	Estefane Lacerda , André C. Carvalho , Antônio Pádua Braga , Teresa Bernarda Ludermir, Evolutionary Radial Basis Functions for Credit Assessment, Applied Intelligence, v.22 n.3, p.167-181, May 2005
	D. J. Hou , Q. Song , Y. C. Soh, Computerised Auto-Scoring System Based Upon Feature Extraction and Neural Network Technologies, Journal of Intelligent and Robotic Systems, v.29 n.4, p.335-347, December 2000
	S. Suresh , N. Sundararajan , P. Saratchandran, A sequential multi-category classifier using radial basis function networks, Neurocomputing, v.71 n.7-9, p.1345-1358, March, 2008
	Stephen A. Billings , Hua-Liang Wei , Michael A. Balikhin, Generalized multiscale radial basis function networks, Neural Networks, v.20 n.10, p.1081-1094, December, 2007
	Iraj Mahdavi , Namjae Cho , Babak Shirazi , Navid Sahebjamnia, Designing evolving user profile in e-CRM with dynamic clustering of Web documents, Data & Knowledge Engineering, v.65 n.2, p.355-372, May, 2008
	Chih-Ming Chen , Hahn-Ming Lee , Yu-Jung Chang, Two novel feature selection approaches for web page classification, Expert Systems with Applications: An International Journal, v.36 n.1, p.260-272, January, 2009
	Weiling Cai , Songcan Chen , Daoqiang Zhang, A simultaneous learning framework for clustering and classification, Pattern Recognition, v.42 n.7, p.1248-1259, July, 2009
	Otto M. Machado Filho , Nelson F. F. Ebecken, Visual RBF network design based on Star Coordinates, Advances in Engineering Software, v.40 n.9, p.913-919, September, 2009
	Daniel S. Yeung , Patrick P. K. Chan , Wing W. Y. Ng, Radial Basis Function network learning using localized generalization error bound, Information Sciences: an International Journal, v.179 n.19, p.3199-3217, September, 2009
	M. Alper Selver , Olcay Akay , Emre Ardali , A. Bahadir Yavuz , Okan Önal , Gürkan Özden, Cascaded and hierarchical neural networks for classifying surface images of marble slabs, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, v.39 n.4, p.426-439, July 2009
	P. A. Gutiérrez , C. Hervás , M. Carbonero , J. C. Fernández, Combined projection and kernel basis functions for classification in evolutionary neural networks, Neurocomputing, v.72 n.13-15, p.2731-2742, August, 2009