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Neural Computing and Applications

Erschienen in:

27.04.2020 | S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications

RETRACTED ARTICLE: Research on image classification method based on convolutional neural network

verfasst von: Daming Li, Lianbing Deng, Zhiming Cai

Erschienen in: Neural Computing and Applications | Ausgabe 14/2021

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Abstract

Image classification method is currently the more popular image technology, but it still has certain problems in practice. In order to improve the image classification effect, this study proposes a new convolution kernel, which can effectively detect the corresponding features with different transformations by actively transforming the relative positions of the connections in the convolution kernel. Moreover, in a network, replacing a traditional convolution kernel with a complex convolution kernel can significantly improve network performance. In order to verify the performance of the image classification method proposed in this study, the performance comparison of the algorithm was performed by setting a control experiment. The research results show that the proposed method has certain effects and can provide theoretical reference for subsequent related research.

Vorheriger Artikel RETRACTED ARTICLE: Design of traffic object recognition system based on machine learning

Nächster Artikel Improved convolutional neural network in remote sensing image classification

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Titel: RETRACTED ARTICLE: Research on image classification method based on convolutional neural network
verfasst von: Daming Li
Lianbing Deng
Zhiming Cai
Publikationsdatum: 27.04.2020
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 14/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-020-04930-7

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