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- W2918751844 abstract "In this article a neural networks based method for automatic classification of ground penetrating radar (GPR) traces is presented. It is used on new representation of GPR signals by polynomials approximation. The coefficients of polynomial (feature vector) are neural network inputs for automatic classification of anomalous of geologic structure. The analysis and results show that the classifier can effectively be used for a lot of geologic structures." @default.
- W2918751844 created "2019-03-11" @default.
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- W2918751844 date "2019-01-01" @default.
- W2918751844 modified "2023-10-12" @default.
- W2918751844 title "Neural networks based method for automatic classification of GPR data" @default.
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- W2918751844 doi "https://doi.org/10.1063/1.5092017" @default.
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