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- W3006325064 abstract "Complex-valued neural networks (CVNNs) have become a hot research topic in neural network community for their powerful ability in dealing with complex-valued signal problems. However, as one of the most popular training methods for CVNNs, complex gradient method still suffers from slow convergence and easily traps into the local minima. To this end, in this paper we combine the conjugate gradient method and the Barzilai-Borwein method, and propose a complex conjugate gradient training method with Barzilai-Borwein stepsize for complex-valued neural networks. The superiority of the proposed method is substantiated with two numerical examples." @default.
- W3006325064 created "2020-02-24" @default.
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- W3006325064 date "2019-12-01" @default.
- W3006325064 modified "2023-09-24" @default.
- W3006325064 title "A complex conjugate gradient training algorithm with Barzilai-Borwein stepsize for complex-valued neural networks" @default.
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- W3006325064 doi "https://doi.org/10.1109/iaeac47372.2019.8997985" @default.
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