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- W2358905053 abstract "Based on the wavelet neural network (WNN) training algorithm and geometrical structure, a new WNN optimization algorithm-hybrid hierarchy genetic algorithm (HHGA) is introduced by combining hierarchy genetic algorithm and multivariate linear regression. This algorithm is effective to determine the structure and parameters of WNN based on data and has the merits of high learning speed and higher precision. The method is compared with the traditional BP algorithm. The effectiveness of the algorithm is demonstrated." @default.
- W2358905053 created "2016-06-24" @default.
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- W2358905053 date "2005-01-01" @default.
- W2358905053 modified "2023-10-17" @default.
- W2358905053 title "Wavelet neural network optimization based on hybrid hierarchy genetic algorithm" @default.
- W2358905053 hasPublicationYear "2005" @default.
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