Characteristics of Dynamical Phase Transitions for Noise Intensities | Zendy

Muyoung Heo | Zendy; JongKil Park | Zendy; Kyungsik Kim | Zendy

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Characteristics of Dynamical Phase Transitions for Noise Intensities

Author(s) -

Muyoung Heo,

JongKil Park,

Kyungsik Kim

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.05.235

Subject(s) - computer science , noise (video) , phase transition , statistical physics , intensity (physics) , artificial neural network , probability density function , function (biology) , random noise , phase noise , algorithm , topology (electrical circuits) , physics , artificial intelligence , quantum mechanics , mathematics , optics , statistics , combinatorics , evolutionary biology , image (mathematics) , biology

We simulate and analyze dynamical phase transitions in a Boolean neural network with initial random connections. Since we treat a stochastic evolution by using a noise intensity, we show from our condition that there exists a critical value for the noise intensity. The nature of the phase transition are found numerically and analytically in two connections of probability density function and one random network

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