By Tohru Nitta
Contemporary examine shows that complex-valued neural networks whose parameters (weights and threshold values) are all advanced numbers are actually priceless, containing features bringing approximately many major purposes.
Complex-Valued Neural Networks: using High-Dimensional Parameters covers the present state of the art theories and functions of neural networks with high-dimensional parameters comparable to 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 collect the basic wisdom had to be on the leading edge of analysis, whereas practitioners will easily take in the fabrics required for the applications.
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