Application of Antagonism Neural Network in Data Processing of Graph Calculation

Yue Wang

Abstract


With the development of science and technology, especially information technology, image processing technology has become an indispensable and powerful tool in scientific research. Traditional image processing methods cannot meet the needs. Researchers began to explore new and more effective methods. Among them, neural network image processing is the most active direction. Compared with traditional algorithms, neural network algorithm has the advantages of strong parallel computing ability, strong nonlinear imaging ability and strong adaptability. With the in-depth study of neural network theory, people have fully realized the advantages of neural network technology in parallel computing ability, nonlinear mapping and adaptability. Different neural network models are widely used in the field of image processing. Neural network technology has also become a hot research topic.

Keywords


Neural Network; Figure Calculation Method; Data Processing

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References


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DOI: http://dx.doi.org/10.18686/esta.v9i3.235

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