Published September 30, 2020 | Version v1
Journal article Open

Glass Classification based on Machine Learning Algorithms

  • 1. Department of Computer Science, Jaipur Engineering College and Research Centre, Jaipur, India.
  • 1. Publisher

Description

Glass Industry is considered one of the most important 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 Logistic Regression algorithm. By comparing all the algorithm Random Forest did the best in glass classification.

Files

H6819069820 (1).pdf

Files (264.7 kB)

Name Size Download all
md5:07e540d979892b7bf249c96e18291d01
264.7 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2278-3075 (ISSN)

Subjects

ISSN
2278-3075
Retrieval Number
100.1/ijitee.H6819069820