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Deterministic chaos in atmospheric flows as a model for self-organised neural networks

Selvam, AMary (1990) Deterministic chaos in atmospheric flows as a model for self-organised neural networks. In: Aerospace and Electronics Conference, 21 May 1990-25 May 1990, Dayton, OH.

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Abstract

A cell dynamical system model incorporating the physics of deterministic chaos in digital computer realizations of nonlinear mathematical models of dynamical systems is presented. The model shows that persistent microscopic domain perturbations generate, spontaneously, a continuum of logarithmic spiral circulations with the quasiperiodic Penrose tiling pattern for the internal small-scale circulation pattern with ordered energy flow between the scales. The neural network of the human brain is shown by analogy to closely resemble the self-organized adaptive network of atmospheric flows comprising fluctuations ranging in size from millimeters to thousands of kilometers.

Item Type: Conference or Workshop Item (Other)
Uncontrolled Keywords: Chaos Theory; Control Systems; Systems Science and Cybernetics - Brain Models, Deterministic Chaos; Self-Organized Neural Networks, Neural Networks
Subjects: Meteorology and Climatology
Depositing User: IITM Library
Date Deposited: 02 May 2015 05:03
Last Modified: 02 May 2015 05:03
URI: http://moeseprints.incois.gov.in/id/eprint/1144

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