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- W1999842262 abstract "Genetic neural network model of solving the problem of nonlinearity rectification of sensor systems, is put forward in the light of the shortcomings of least square and other conventional methods. And in theory the model is emphatically expounded. Computer simulations are presented to demonstrate that approximation accuracy of the model is far higher than the conventional least square method and the model possesses stronger robustness through adopting the methods in this paper. The research in the paper indicates that the model can also be used to realize nonlinearity rectification in other similar systems." @default.
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- W1999842262 date "2005-03-01" @default.
- W1999842262 modified "2023-09-27" @default.
- W1999842262 title "NEW METHOD OF NONLINEAR RECTIFICATION OF SENSOR SYSTEMS" @default.
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- W1999842262 doi "https://doi.org/10.1142/s021987890500043x" @default.
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