Reducibility of the Complex-valued Neural Network
نویسنده
چکیده
Abstract In this letter, we will clarify the reducibility of the complex-valued neural network. In the case of the complex-valued neural network, the reducibility is expressed by nπ/2 rotation-equivalence instead of sign-equivalence which Sussmann defined to show the reducibility of the real-valued neural network. In addition to the two conditions of sign-equivalence, nπ/2 rotation-equivalence has two new conditions related to the rotation of complex numbers.
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