Optimizacija neuronske mreže korištene za predviđanje svojstava silicenskih nanovrpci

undergraduate thesis

• Title (english): Optimization of a neural network used for predicting the properties of silicene nanoribbons
• Author: Ivan Stresec
• Mentor: Mirko Poljak (mentor)
• Committee member: Mirko Poljak (predsjednik povjerenstva)
• Committee member: Vladimir Čeperić (član povjerenstva)
• Committee member: Josip Žilak (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-07, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Rad se bavi umjetnim neuronskim mrežama te njihovom optimizacijom u kontekstu regresijskih mreža za predviđanje svojstava silicenskih nanovrpci. Dan je pregled umjetnih neuronskih mreža, njihovih mehanizama te raznih metoda za poboljšanje njihove funkcije. Spomenute su silicenske nanovrpce, njihova primjena u elektronici te potencijal umjetnih neuronskih mreža u predviđanju njihovih svojstava. Sprovedena je optimizacija regresijske neuronske mreže čiji je cilj predviđati jedno od transportnih svojstava silicenskih nanovrpci.

Abstract (english)

The paper deals with artificial neural networks and their optimization in the context of regression networks for the prediction of silicene nanoribbon properties. An overview of artificial neural networks, their mechanisms, and diverse methods for the improvement of their function is given. Silicene nanoribbons, their usage in electronics, as well as the potential of neural networks in the prediction of their properties is mentioned. An optimization of a regression neural network whose goal is the prediction of a silicene nanoribbon transport property is conducted.

• Keywords: umjetne neuronske mreže; optimizacija; regresija; predikcija; silicen; silicenske nanovrpce; kvantni transport
• Keywords (english): artificial neural networks; optimization; regression; prediction; silicen; silicen nanoribbons; quantum transport
• Language: croatian
• URN:NBN: urn:nbn:hr:168:855042
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 09:58:10