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- W2088534276 abstract "Abstract In this paper, artificial neural networks (ANNs) with back-error propagation were successfully used for the classification of complex fluorides (AB m F n ) based on the transition emission of Eu(II). Network parameters and architecture were optimized. Effects of the transfer function, the scaling and learning mode and the range of the initial weights on the performance of the network were studied. A recognition rate of 98.4% and a prediction rate of 96.3% showed better performance compared to conventional pattern recognition methods and previously reported neural networks." @default.
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- W2088534276 date "1994-11-01" @default.
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- W2088534276 title "Study of the influence of neural network parameters on the performance characteristics in pattern recognition" @default.
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- W2088534276 doi "https://doi.org/10.1016/0169-7439(94)85045-3" @default.
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