Classification of gravity matching areas using pso-bp neural networks based on pca and satellite altimetry data over the western pacific

HIGHLIGHTS

• who: Jingwen Zong et al. from the Department of Electrical Engineering, Naval University of Engineering, Wuhan, China have published the article: Classification of Gravity Matching Areas Using PSO-BP Neural Networks based on PCA and Satellite Altimetry Data over the Western Pacific, in the Journal: Sensors 2022, 9892 of 15/Dec/2022
• what: The authors introduce an efficient PSO algorithm to optimize a BP NN and combine these with the PCA method to propose the PPBA method, which is used to classify and identify the gravity matching region in the entire research area. Based on . . .
  

   

  

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