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- W2016812413 abstract "This letter presents some results on the computational power of complex-valued neurons. The main results may be summarized as follows. The XOR problem and the detection of symmetry problem which cannot be solved with a single real-valued neuron (i.e. a two-layered real-valued neural network), can be solved with a single complex-valued neuron (i.e. a two-layered complex-valued neural network) with the orthogonal decision boundaries, which reveals the potent computational power of complex-valued neurons. Furthermore, the fading equalization problem can be successfully solved with a single complex-valued neuron with the highest generalization ability." @default.
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- W2016812413 date "2003-10-01" @default.
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- W2016812413 title "Solving the XOR problem and the detection of symmetry using a single complex-valued neuron" @default.
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- W2016812413 doi "https://doi.org/10.1016/s0893-6080(03)00168-0" @default.
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