In this research paper have been examined the ability of artificial neuron network, to project multidimensional data into smaller measurement expanse, by using the idea of main components. Described the usage of artificial neuron network and educational algorithm for specific features extraction and multidimensional data projection. Analyzed classical research methods of main components, and program KOMPONENTĖ has been designed to accomplish this particular work. Also there have been analyzed the possibilities of artificial neuron network to project the multidimensional data into the straight and plane. There have been designed programs TIESĖ, OJA and SANGER for this research paper. There have been accomplished and presented the results of this research. The results, obtained using classical main components method, were compared with results, obtained by neuron network realizabled main components. Additional conclusions maid about multidimensional data visualization problems, using the Y.H.Oja ir T.D.Sanger regulations and dependance of these regulations from parameter of educational precision, and parameter of significance of educational rate. Software operated in this research paper: Free Pascal IDE for WIN32 and Microsoft Excel 2003.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2005~D_20050603_163750-93017 |
| Date | 03 June 2005 |
| Creators | Umbražūnaitė, Jurgita |
| Contributors | Šaltenis, Vydūnas, Dzemyda, Gintautas, Stankevičienė, Eglė, Kazlauskas, Kazys, Vilnius Pedagogical University |
| Publisher | Lithuanian Academic Libraries Network (LABT), Vilnius Pedagogical University |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2005~D_20050603_163750-93017 |
| Rights | Unrestricted |
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