By Tohru Nitta
Contemporary examine shows that complex-valued neural networks whose parameters (weights and threshold values) are all advanced numbers are in reality helpful, containing features bringing approximately many major functions.
Complex-Valued Neural Networks: using High-Dimensional Parameters covers the present cutting-edge theories and functions of neural networks with high-dimensional parameters resembling complex-valued neural networks, quantum neural networks, quaternary neural networks, and Clifford neural networks, that have been constructing in recent times. Graduate scholars and researchers will simply gather the elemental wisdom had to be on the vanguard of study, whereas practitioners will effectively take up the fabrics required for the applications.
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