Kemometrijska klasifikacija psihoaktivnih uzoraka

master's thesis

• Title (english): Chemometric classification of psychoactive samples
• Author: Petra Tominac
• Mentor: Tomislav Bolanča (mentor)
• Committee member: Tomislav Bolanča (predsjednik povjerenstva)
• Committee member: Šime Ukić (član povjerenstva)
• Committee member: Lidija Furač (član povjerenstva)
• Granter: University of Zagreb; Faculty of Chemical Engineering and Technology; Zagreb
• Defense date and country: 2019-09-17, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Chemistry

Abstract

U ovom radu provedena je klasifikacija uzoraka opojnih droga upotrebom umjetnih neuronskih mreža. Za potrebe istog, najprije je provedena optimizacija mreža: određen je tip mreže, broj neurona u skrivenom sloju, te aktivacijska i funkcija za treniranje. Najboljim se pokazao višeslojni linearni perceptron s 12 neurona u skrivenom sloju, tangens hiperbolnom aktivacijom, treniran funkcijom konjugiranog gradijenta uz visku točnost od 84,93% ispravnog predviđanja na nezavisnom (vanjskom) setu varijabli. Umjetne neuronske mreže pokazale su se kao brz i pouzdan alat kojim može ostvariti kvalitetna klasifikacija uzoraka opojnih droga te kao takve sigurno imaju svijetlu perspektivu u rasvjetljavanju kriminalnih djelatnosti vezanih uz transfer opojnih droga.

Abstract (english)

The classification of samples of narcotic drugs using artificial neural networks is shown in this paper. For the same purpose, network optimization was first implemented: a network type was determined, a number of neurons within the hidden layer, also an activation and training functions were determined. The best solution is multilayer linear perceptron with 12 neurons within the hidden layer, with tangent hyperbolic activation function, trained with conjugated gradient function in the high accuracy of 84.93% of the correct prediction on the independent (external) set of variables. Artificial neural networks have proven to be a fast and reliable tool that can achieve a high-quality classification of narcotic drugs samples and certainly have a bright perspective on the illicit trafficking of narcotic drugs.

• Keywords: umjetne neuronske mreže; klasifikacija podataka; opojne droge
• Keywords (english): artificial neural networks; data classification; narcotics
• Language: croatian
• URN:NBN: urn:nbn:hr:149:038820
• Study programme: Title: Applied Chemistry - Graduate study; specializations in: Environmental chemistry and green technologies, Advanced materials and technologies, Applied organic chemistry; Course: Applied organic chemistry; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra primijenjene kemije (magistar/magistra primijenjene kemije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access; Embargo expiration date: 2024-09-30
• Created on: 2022-02-27 17:49:41