Darbe aprašytas modelis, naudojant aktyvacijos funkcijas su Gauso branduoliais. Vienu atveju buvo paimtos aktyvacijos funkcijos, maksimizuojančios Shannon entropija, kitu – maksimizuojančios Renyi entropiją. Manoma, kad tokio tipo funkcijos turėtų geriau tikti prognozavimui. / In this thesis a novel technique is used to construct sparse generalized Gaussian Kernel regression model- so called neural network. Kernel which maximize Renyi entropy is used too. Experimental results obtained using these models are promising.
Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2006~D_20081203_184401-63341 |
Date | 04 March 2009 |
Creators | Verbel, Irina |
Contributors | Vaitkus, Pranas, Vilnius University |
Publisher | Lithuanian Academic Libraries Network (LABT), Vilnius University |
Source Sets | Lithuanian ETD submission system |
Language | Lithuanian |
Detected Language | Unknown |
Type | Master thesis |
Format | application/pdf |
Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20081203_184401-63341 |
Rights | Unrestricted |
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