Optimization And Design Of Cooling Systems
Using A Hybrid Neural Network And Genetic
Algorithm Methodology
Author(s)
S.K. Hannani, M. Fardadi & R. Bahoush
Abstract
In this paper a novel method for the design and optimization of cooling systems
is presented. The numerical solution of free convection from a heated horizontal
cylinder confined between adiabatic walls obtained from a finite element solver
is used to propose a non-linear heat transfer model of GMDH type approach. In
the context of GMDH model, three different methods depending on the structure
of neural network are implemented. The system of orthogonal equations is
solved using a SVD scheme. The coefficients of second order polynomials are
computed and their behavior is discussed. In addition, to demonstrate the
performance of the predicted model, the numerical data are divided into trained
and prediction data, respectiv
Keywords
Related Book
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