Dual-channel convolutional neural network for power edge image recognition

Dual-channel convolutional neural network for power edge image recognition

Abstract In 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...

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Bibliographic Details
Main Authors: Fangrong Zhou, Yi Ma, Bo Wang, Gang Lin
Format: Article
Language:English
Published: SpringerOpen 2021-02-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Dual-channel
Convolution neural network
Power equipment
Random forests
Image recognition
Online Access:https://doi.org/10.1186/s13677-021-00235-9

Internet

https://doi.org/10.1186/s13677-021-00235-9

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