Počet záznamů: 1  

Learning Errors by Radial Basis Function Neural Networks and Regularization Networks

  1. 1.
    Neruda, Roman - Vidnerová, Petra
    Learning Errors by Radial Basis Function Neural Networks and Regularization Networks.
    International Journal of Grid and Distributed Computing. Roč. 1, č. 2 (2009), s. 49-57. ISSN 2005-4262
    http://www.sersc.org/journals/IJGDC/vol2_no1/5.pdf
    http://hdl.handle.net/11104/0176739

    Citováno: 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]
Počet záznamů: 1  

  Tyto stránky využívají soubory cookies, které usnadňují jejich prohlížení. Další informace o tom jak používáme cookies.