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Cited by 5 publications
(3 citation statements)
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References 25 publications
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“…Therefore real valued CNN’s are unable to encode the relationship among the three channels and hence causes the information loss which is hindrance in obtaining more accuracy. High dimensional neural networks (HDNN) [ 32 , 33 ] have been extended from real valued neural networks by applying the concepts of complex and hyper complex algebra. Complex valued Neural network [ 3 , 15 ] has emerged as a stronger substitute to conventional neural networks.…”
Section: Background and Related Workmentioning
confidence: 99%
“…Therefore real valued CNN’s are unable to encode the relationship among the three channels and hence causes the information loss which is hindrance in obtaining more accuracy. High dimensional neural networks (HDNN) [ 32 , 33 ] have been extended from real valued neural networks by applying the concepts of complex and hyper complex algebra. Complex valued Neural network [ 3 , 15 ] has emerged as a stronger substitute to conventional neural networks.…”
Section: Background and Related Workmentioning
confidence: 99%
“…For complex activation, holomorphic (a.k.a. analytic) function has been an important topic [Hitzer, 2013, Jalab and Ibrahim, 2011, Vitagliano et al, 2003, Kim and Adali, 2001, Mandic and Goh, 2009, Tripathi and Kalra, 2010 , since it makes the back-propagation simpler thus training becomes faster [Amin et al, 2011 . The importance of Complex Phase Angle of CANN has been suggested, including similarity to biological neuron [Reichert and Serre, 2013].…”
Section: Motivationmentioning
confidence: 99%
“…Traditional ANN is usually in real domain, which deals with data in single dimension. There has been an increasing interest of high dimensional ANN [4], [5], which provides an easy implementation of high dimensional information. A complex number is directly related to the 2-D data.…”
Section: Introductionmentioning
confidence: 99%