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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151190
Doc. No : ET22982
Main Entry : Powtawche Neengay Williams
Title Proper : THE ARTIFICIAL NEURAL NETWORK SOLUTION TO DOUBLE DIFFUSIVE CONVECTION EQUATIONS USING SPECTRAL METHODS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Artificial neural networks have primarily been utilized to solve problems in pat-tern recognit ion, decision-making, signal analysis and controls. This thesis invest i-gates the use of networks in modeling physical systems in fluid mechanics by usingthe governing partial differential equations to initialize the network parameters. Theinitialization requires imposing certain constraints on the values of the input, bias,and output weights. The attribution of certain roles to each of these parametersallows for mapping a polynomial approximation into an artificial neural network ar-chitecture. This approach is shown to be capable of incorporating smooth neurontransfer functions, such as the popular hyperbolic tangent. Attention is focused onthe two-dimensional Navier-Stokes equations for Boussinesq convection that modeltwo-dimensional double diffusive convection. The network used to model this exam-ple utilizes an approximation of the Gudermannian function and an application ofthe pseudospectral method for complete network initiation. Numerical examples arepresented illustrating the accuracy and utility of the method.-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46211.pdf
Title and statement of responsibility and : THE ARTIFICIAL NEURAL NETWORK SOLUTION TO DOUBLE DIFFUSIVE CONVECTION EQUATIONS USING SPECTRAL METHODS [Thesis]
 
 
 
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