Recent research indicates that complex-valued neural networks whose
parameters (weights and threshold values) are all complex numbers
are in fact useful, containing characteristics bringing about many
significant applications. ""Complex-Valued Neural Networks:
Utilizing High-Dimensional Parameters"" covers the current
state-of-the-art theories and applications of neural networks with
high-dimensional parameters such as complex-valued neural networks,
quantum neural networks, quaternary neural networks, and Clifford
neural networks, which have been developing in recent years.
Graduate students and researchers will easily acquire the
fundamental knowledge needed to be at the forefront of research,
while practitioners will readily absorb the materials required for
the applications.
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