Neironu tīkli : ieejas datu un tīkla parametru ietekme uz apmācības procesu

6533b82dfe1ef96bd12921fb

RESEARCH PRODUCT

Neironu tīkli : ieejas datu un tīkla parametru ietekme uz apmācības procesu

Jevgenijs Strigins

subject

description

Darbs aplūko pamatjautājumus par izplatītāko neironu tīklu modeli - daudzslāņu perceptronu. Neironu tīklu darbība var tikt sadalīta divās fāzēs, izejas vērtību aprēķināšana un neironu tīkla brīvo parametru pielāgošana jeb apmācība. Neironu tīklu apmācība ir ļoti svarīgs jautājums, jo tiem ir tendence pār - apmācīties, kā rezultātā ārpus apmācāmo datu kopas neironu tīkls slikti tiek galā ar savu uzdevumu. Darbu formāli varētu sadalīt divās daļās, teorētiskajā un praktiskajā. Teorētiskās daļas mērķis ir iepazīties un izprast neironu tīklu darbības un apmācības teorētisko bāzi. Praktiskās daļas mērķis ir šo teoriju izmantot praksē - uzprogrammēt teorētiski aprakstītos algoritmus, kā arī pārbaudīt, vai, optimāli izvēloties neironu tīkla parametrus, ir iespējams iegūt tīkla korektu darbību ārpus apmācāmo datu kopas.

year	journal	country	edition	language
2013-01-01

https://dspace.lu.lv/dspace/handle/7/26849

PEPhysical Sciences and Engineering
- PE2Fundamental Constituents of Matter
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