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Learning Errors by Radial Basis Function Neural Networks and Regularization Networks
- 1.0331128 - ÚI 2010 RIV KR eng J - Journal Article
Neruda, Roman - Vidnerová, Petra
Learning Errors by Radial Basis Function Neural Networks and Regularization Networks.
[Chyby učení u RBF sítí a regularizačních sítí.]
International Journal of Grid and Distributed Computing. Roč. 1, č. 2 (2009), s. 49-57. ISSN 2005-4262
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : neural network * RBF networks * regularization * learning
Subject RIV: IN - Informatics, Computer Science
http://www.sersc.org/journals/IJGDC/vol2_no1/5.pdf
Cited: 4
--- TANG, L.A. - GONG, L.X. - YANG, M.Z. A novel control algorithm integrated RBFNN and physical model for roller kiln. APPLIED MECHANICS AND MECHANICAL ENGINEERING, PTS 1-3. ISSN 1660-9336, 2010, vol. 29-32, p. 1738-1743. [WOS]
--- DASH, C.S.K. - BEHERA, A.K. - DEHURI, S. - CHO, S.B. Radial basis function neural networks: a topical state-of-the-art survey. OPEN COMPUTER SCIENCE. ISSN 2299-1093, JAN 2016, vol. 6, no. 1, p. 33-63. [WOS]
--- SEN, O. - DAVIS, S. - JACOBS, G. - UDAYKUMAR, H.S. Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation. JOURNAL OF COMPUTATIONAL PHYSICS. ISSN 0021-9991, AUG 1 2015, vol. 294, p. 585-604. [WOS]
--- GOODARZI, M. - SHARMA, S. - RAMON, H. - SAEYS, W. Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring. TRAC-TRENDS IN ANALYTICAL CHEMISTRY. ISSN 0165-9936, APR 2015, vol. 67, p. 147-158. [WOS]
Permanent Link: http://hdl.handle.net/11104/0176739
Number of the records: 1