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- W2390847108 abstract "Generally,it is difficult for conventional or improved median filter to attain a trade-off between noise attenuation and detail preservation.A RNN(Rough Neural Network) based on rough neuron was constructed.The RNN fuses the filtering results of the 5×5 median filter and MFMHF(Multilevel FIR-Median Hybrid Filter).For the indifferentiability of rough neuron,BP algorithm can't be used any more.So,GA(Genetic Algorithm) was applied to tune the weights of the RNN.At the same time,the mountain climbing that has the local search ability was integrated to improve the computation efficiency of GA in the latter period of evolution.The results of simulation indicated that RNN outperformed BP network and general median filter in image fusion for filtering." @default.
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- W2390847108 date "2006-01-01" @default.
- W2390847108 modified "2023-09-25" @default.
- W2390847108 title "Application Research of Rough Neural Network in Image Fusion for Filtering" @default.
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