Presentation 2012-07-30
On Local Analytic Activation Function in Quaternionic Hopfield Neural Network
Teijiro ISOKAWA, Haruhiko NISHIMURA, Nobuyuki MATSUI,
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Abstract(in English) It is difficult to introduce appropriate activation functions to neural networks in the hypercomplex domains, and few functions have been developed so that bounded and analytic (differentiable) conditions are satisfied, as compared with the activation functions in real-valued neural networks. This paper proposes a Hopfield-type neural network on quaternion which is a class of hypercomplex number systems. The activation function in the proposed network is an extension of tanh function in the complex domain with introducing local analyticiy. The stability conditions of this network is also shown by proving monotonic decrease of energy for the network with respect to the changes of neuron states.
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Keyword(in English) Quaternion / Hopfield neural network / Local analyticity / Activation function / Complex-valued neural networks
Paper # NC2012-18
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Committee NC
Conference Date 2012/7/23(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Local Analytic Activation Function in Quaternionic Hopfield Neural Network
Sub Title (in English)
Keyword(1) Quaternion
Keyword(2) Hopfield neural network
Keyword(3) Local analyticity
Keyword(4) Activation function
Keyword(5) Complex-valued neural networks
1st Author's Name Teijiro ISOKAWA
1st Author's Affiliation Graduate School of Engineering, University of Hyogo()
2nd Author's Name Haruhiko NISHIMURA
2nd Author's Affiliation Graduate School of Applied Informatics, University of Hyogo
3rd Author's Name Nobuyuki MATSUI
3rd Author's Affiliation Graduate School of Engineering, University of Hyogo
Date 2012-07-30
Paper # NC2012-18
Volume (vol) vol.112
Number (no) 168
Page pp.pp.-
#Pages 6
Date of Issue