Image Classification Using Convolutional Neural Network Based on Feature Selection for Edge Computing

2021 ◽  
Author(s):  
Pingchang Hao ◽  
Liyong Zhang
Keyword(s):  
Neural Network ◽  
Feature Selection ◽  
Convolutional Neural Network ◽  
Image Classification ◽  
Edge Computing ◽  
Selection For

ROUGH FEATURE SELECTION FOR NEURAL NETWORK BASED IMAGE CLASSIFICATION

2002 ◽  
Vol 02 (04) ◽  
pp. 541-555 ◽  
Author(s):  
CHANGJING SHANG ◽  
QIANG SHEN
Keyword(s):  
Neural Network ◽  
Feature Selection ◽  
Image Classification ◽  
Rough Set ◽  
Reduction Method ◽  
Feature Reduction ◽  
Neural Network Classifier ◽  
The Neural Network ◽  
Study Results ◽  
Selection For

Effective feature selection is essential to the development of any intelligent classifier which is intended for use in high-dimension domains. This paper presents an approach that incorporates a rough set-assisted feature reduction method and a neural network-based classifier for image classification. The approach minimises the need for feature extraction without altering the underlying semantics of the features chosen. Through the proposed integration the size of the neural network classifier, which is sensitive to the dimensionality of the dataset, becomes manageable and the network is able to classify images that would otherwise require many more features to represent. Comparative study results from realistic applications demonstrate the success of this work.

Improved Convolutional Neural Network with Feature Selection for Imbalanced ECG Multi-Factor Classification

Measurement ◽  
2021 ◽  
pp. 110471
Author(s):  
Yingnan Xiong ◽  
Lin Wang ◽  
Qingnan Wang ◽  
Shan Liu ◽  
Bo Kou
Keyword(s):  
Neural Network ◽  
Feature Selection ◽  
Convolutional Neural Network ◽  
Selection For

Image Classification Method Based on Supplement Convolutional Neural Network

2018 ◽  
Vol 30 (3) ◽  
pp. 385 ◽  
Author(s):  
Qiang Wang ◽  
Xiaojie Li ◽  
Jun Chen
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Image Classification ◽  
Classification Method

Diagnostic Accuracies of Laryngeal Diseases Using a Convolutional Neural Network‐Based Image Classification System

2021 ◽  
Author(s):  
Won Ki Cho ◽  
Yeong Ju Lee ◽  
Hye Ah Joo ◽  
In Seong Jeong ◽  
Yeonjoo Choi ◽  
...  
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Image Classification ◽  
Classification System ◽  
Laryngeal Diseases
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