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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.006
Abstract: Abstract A complex-valued Hopfield neural network (CHNN) is a model of a multistate Hopfield neural network, and has been applied to the storage of multilevel data. Weak noise tolerance, however, is a disadvantage of CHNNs.…
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Keywords:
valued hopfield;
minima;
local minima;
complex valued ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.002
Abstract: Abstract A complex-valued Hopfield neural network (CHNN), a multistate Hopfield model, is useful for processing multilevel data, such as image data. Several alternatives of CHNN have been proposed. A hyperbolic-valued Hopfield neural network (HHNN) improves…
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Keywords:
valued hopfield;
hyperbolic valued;
chnn hhnn;
neural network ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.01.121
Abstract: Abstract A complex-valued Hopfield neural network (CHNN) has been applied as a multistate neural associative memory. Although synchronous mode accelerates the recall process, a CHNN with a projection rule may be trapped at a cycle…
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Keywords:
valued hopfield;
hybrid mode;
hopfield neural;
projection rule ... See more keywords
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Published in 2021 at "Neural Computation"
DOI: 10.1162/neco_a_01405
Abstract: A complex-valued Hopfield neural network (CHNN) is a multistate Hopfield model. A quaternion-valued Hopfield neural network (QHNN) with a twin-multistate activation function was proposed to reduce the number of weight parameters of CHNN. Dual connections…
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Keywords:
storage;
storage capacity;
valued hopfield;
quaternion valued ... See more keywords