Open AccessResearch on the Garbage Classification Problem Based on Convolutional Neural Network
Author(s) -
Shuang Wu,
Zeyu Li,
Xinqiong Chen,
Peiwen Zhong,
Liangcai Mei,
Xing Cai
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2078/1/012056
Subject(s) - garbage , convolutional neural network , computer science , field (mathematics) , artificial intelligence , artificial neural network , machine learning , garbage collection , mathematics , pure mathematics , programming language
In order to better promote garbage classification, machine learning models are used to discover and solve garbage classification problems. First, the factor analysis is used to conduct field investigation and data analysis on residents' perception of waste classification. Second, convolutional neural network (CNN) is used to classify and recognize garbage images, which is used to assist the judgment of garbage classification. We should put forward some reasonable classification suggestions to better promote the problem of garbage classification.