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International Journal of Neural Network, 2020, 1(1); doi: 10.38007/NN.2020.010105.

Algorithm of Fusion Convolution Neural Network in Animal Recognition

Author(s)

Manuel Gonzalez

Corresponding Author:
Manuel Gonzalez
Affiliation(s)

Indira Gandhi Delhi Technical University for Women, India

Abstract

The application of convolutional neural network has emerged in various fields in recent years, and has been favored by more and more experts, and has gradually entered the vision of ordinary people. Convolution neural network is a kind of deep neural network. Its main feature is that the front end input uses multi-layer locally interconnected neurons to extract the input information, and can consider the translation, rotation and scaling invariance of the signal target in space. In this paper, CNN is applied to image processing, and an animal recognition algorithm based on self normalized convolution neural network is proposed. Animal recognition technology is one of the most successful applications in image analysis and understanding, and has been attached importance by researchers from all walks of life. Especially in the past few years, Internet technology and information technology have been developing continuously, and the research on animal recognition has become more and more significant.

Keywords

Convolution Neural Network, Animal Recognition, Image Recognition, Recognition Algorithm

Cite This Paper

Manuel Gonzalez. Algorithm of Fusion Convolution Neural Network in Animal Recognition. International Journal of Neural Network (2020), Vol. 1, Issue 1: 31-40. https://doi.org/10.38007/NN.2020.010105.

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