Presentation 2006-01-24
Stationary State and Dynamics for Sequence Processing Neural Network with Q-States Monotonic Transfer Function
Katsuki KATAYAMA,
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Abstract(in English) We investigate a stationary state and a dynamics for a sequence processing neural network with Q (>2)-states monotonic transfer function. We derive equations of dynamics for the sequence processing neural network with Q-states monotonic transfer function by using a generating function of path-integral representation. We clarify a phase diagram in stationary state, a retrieval process and a basin of attraction for the sequence processing neural network with Q-states monotonic transfer function.
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Keyword(in English) sequence processing neural network / Q-states monotonic transfer function / generating function of path-integral representation / stationary state / dynamics
Paper # NC2005-99
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Committee NC
Conference Date 2006/1/17(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) Stationary State and Dynamics for Sequence Processing Neural Network with Q-States Monotonic Transfer Function
Sub Title (in English)
Keyword(1) sequence processing neural network
Keyword(2) Q-states monotonic transfer function
Keyword(3) generating function of path-integral representation
Keyword(4) stationary state
Keyword(5) dynamics
1st Author's Name Katsuki KATAYAMA
1st Author's Affiliation Department of Computer Science and Systems Engineering, Faculty of Engineering, Muroran Institute of Technology()
Date 2006-01-24
Paper # NC2005-99
Volume (vol) vol.105
Number (no) 544
Page pp.pp.-
#Pages 5
Date of Issue