Titlebook: Nonlinear Evolution of Spatio-Temporal Structures in Dissipative Continuous Systems; F. H. Busse,L. Kramer Book 1990 Plenum Press, New Yor

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Manuel G. Velarde,Xiao-Lin Chun be emulated by NNs.The book introduces a basic mathematica.This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can

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A. C. Newell,T. Passot,M. Soulision of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN – the multilayer perceptron (MLP). This type of NN application

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Drifting Convection Rolls Induced by Spatial Modulation to the amount of asymmetric properties of the convecting fluid such as the curvature in the temperature dependence of the density. These results have been obtained experimentally through the measurement of convection in an annular channel heated from below.

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Interfacial Oscillations and Solitons Driven by the Marangoni Effectct, i.e., stresses induced by the variation of the surface tension from point to point along the surface may transform the “thermal” or “chemical”,...energy into convective motion, overtaking the viscous dissipation and thus sustaining the wave motions (4–18).

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Phase-Mean Drift Equation for Convection Patterns in Large Aspect Ratio Containersn of the selected wavenumber which agrees closely with experiments and we predict a new instability which appears to be important in initiating time dependence. We predict also the Rayleigh numbers at which loss of spatial correlation due to global defect nucleation will occur.

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