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- W4378224187 abstract "The accuracy and reliability of continuous space curve estimation is the key to global exploration. An improved artificial intelligence algorithm is proposed for continuous space analysis. First, a wavelet basis ANN algorithm is proposed to determine the discretization strategy in continuous space. The hidden layer node transfer function in a BP neural network is replaced by a wavelet basis function, and the modified BP neural network is composed of a wavelet neural network. Second, an improved wolf algorithm is established. The core wolf system ensures the precision of the whole exploration task. Finally, main and auxiliary double cores and a five-class decision factor are used to establish a population classification model to solve the convergence of the algorithm." @default.
- W4378224187 created "2023-05-26" @default.
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- W4378224187 date "2023-06-30" @default.
- W4378224187 modified "2023-10-18" @default.
- W4378224187 title "A Wavelet Basis ANN and 5-Class Decision Factor AI Algorithm" @default.
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- W4378224187 doi "https://doi.org/10.1142/s0218001423590176" @default.
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