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undergraduate thesis
Usporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. urn:nbn:hr:235:176444
Milas, Krešimir
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Milas, K. (2015). Usporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:176444

Milas, Krešimir. "Usporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. https://urn.nsk.hr/urn:nbn:hr:235:176444

Milas, Krešimir. "Usporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. https://urn.nsk.hr/urn:nbn:hr:235:176444

Milas, K. (2015). 'Usporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:176444

Milas K. Usporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2015 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:235:176444

K. Milas, "Usporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:235:176444

Metadata
TitleUsporedba unaprijednih neuronskih mreža s jednim i dva skrivena sloja u modeliranju linearnog dinamičkog sustava
Title (english)Comparison of feedforward neural networks with one and two hidden layers in modeling of linear dynamic system
AuthorKrešimir Milas
MentorDubravko Majetić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2015-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovom se radu na primjeru učenja modeliranja linearnog dinamičkog sustava prvog reda (indentifikacija sustava) pokazala se kvaliteta učenja i generalizacije statičke neuronske mreže s jednim i dva skrivena sloja neurona. Za usporedbu se odabralo više različitih topologija jednoslojne i dvoslojne mreže. Uspoređivale su se mreže s jednakim brojem parametara učenja. Metode po kojima su uspoređivane su: brzina učenja do određenog NRMS-a te učenje do određenog koraka. Učenje se izvodilo po uzorku s zamahom prvog i drugog reda, a algoritam učenja je povratno raspostiranje greške. Nakon učenja gledalo se vrijeme potrebno da se dosegne cilj, postignut NRMS učenja te kvaliteta odziva. Nakon usporedba uzele su se mreže koje su se pokazale najbolje u generalizaciji te ih se pobudilo različitim pobudnim funkcijama (sinusnom i nagibnom) koje nisu bile u setu za učenje. Potom su ponovno uspoređene na temelju mogućnosti generalizacije odziva koje nisu učene.
Abstract (english)
This paper dealt with neural network learning of first lag order element. In it the quality of learning and quality of generalization of networks with one and two hidden layers is shown. Multiple topologies of networks with one and two layers were chosen for comparison. Networks with equal number of learning parameters were compared. There were two methods of evaluation of neural networks: learning up to a predetermined error threshold and learning up to predetermined number of epochs. Learning method used was pattern learning with momentum of first and second order. Upon completion of learning process time elapsed , achieved NRMS and quality of response were considered. After comparison, networks that proved best in generalization were introduced to different input functions (sine and ramp) which weren't in original learning set and compared again.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:176444
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-05-22 14:37:36