scholarly journals Research on Convolutional Neural Network Image Recognition Algorithm Based on Computer Big Data

2021 ◽  
Vol 1744 (2) ◽  
pp. 022096
Author(s):  
Yuanyi Chen
Author(s):  
Fangrong Zhou ◽  
Yi Ma ◽  
Bo Wang ◽  
Gang Lin

AbstractIn view of the low accuracy and poor processing capacity of traditional power equipment image recognition methods, this paper proposes a power equipment image recognition method based on a dual-channel convolutional neural network (DC-CNN) model and random forest (RF) classification. In the aspect of feature extraction, the DC-CNN model extracts the characteristics of power equipment through two independent CNN models. In the aspect of the recognition algorithm, by referring to the advantages of the traditional machine learning method and incorporating the advantages of the RF, an RF classification method incorporating deep learning is proposed. Finally, the proposed DC-CNN model and RF classification method are used to classify images of various types of power equipment. The results show that the proposed methods can be effectively applied to the image recognition of various types of power equipment, and they greatly improve the recognition rate of power equipment images.


2021 ◽  
Vol 2136 (1) ◽  
pp. 012062
Author(s):  
Xuebin Zhu ◽  
Zhoulin Wang ◽  
Peiwen Lin ◽  
Ziqian Ma ◽  
Zhenghong Yu

Abstract In the development of social construction, the concept of artificial intelligence technology has been widely used in all fields, among which image recognition as a representative, not only changed the traditional way of image recognition, but also solved the new problems emerging in the development of the era of big data. Therefore, on the basis of understanding the current common artificial intelligence image recognition technology content, according to the current application of artificial intelligence technology, this paper analyzes how to carry out image recognition based on convolutional neural network algorithm.


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