Open AccessGlass Classification based on Machine Learn-ing Algorithms
Author(s) -
H. D. Mathur,
Amit Surana
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.h6819.0991120
Subject(s) - support vector machine , machine learning , artificial intelligence , artificial neural network , algorithm , random forest , computer science , statistical classification
Glass Industry is considered one of the most im-portant industries in the world. The Glass is used everywhere, from water bottles to X-Ray and Gamma Rays protection. This is a non-crystalline, amorphous solid that is most often transparent. There are lots of uses of glass, and during investigation in a crime scene, the investigators need to know what is type of glass in a scene. To find out the type of glass, we will use the online dataset and machine learning to solve the above problem. We will be using ML algorithms such as Artificial Neural Network (ANN), K-nearest neighbors (KNN) algorithm, Support Vector Machine (SVM) algorithm, Random Forest algorithm, and Lo-gistic Regression algorithm. By comparing all the algorithm Ran-dom Forest did the best in glass classification.