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- W2381660655 abstract "The reason why the hidden layer units of back propagation neural network(BPNN) has the searching ability of latent higher order information of the atmospheric refraction,has not been proved or explained.This paper attempts to seek a dominant argument for the aforementioned question from the neural network transformation study of the atmospheric refraction mapping function (MF).The fundamental mode of the MF is induced and the generalization formula in mathematics is given.The fundamental transformation theory of the function with neural network is analyzed.The BPNN model for the MF model and the dominant appraisal method are established.The adjustment is carried out with the help of Matlab 7 Neural network toolbox for modeling and fitting." @default.
- W2381660655 created "2016-06-24" @default.
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- W2381660655 date "2007-01-01" @default.
- W2381660655 modified "2023-09-28" @default.
- W2381660655 title "The consequence study of searching the higher order information of atmospheric refraction by the hidden layer units of BP neural network" @default.
- W2381660655 hasPublicationYear "2007" @default.
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