Open AccessApplication of Neural Network to Find Initial State of Optimization Parameters
Author(s) -
Ali Babakhani,
Hasan Sayyaadi
Publication year - 2006
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1115/imece2006-13072
Subject(s) - artificial neural network , state (computer science) , differential equation , computer science , boundary value problem , control theory (sociology) , function (biology) , mathematical optimization , mathematics , simple (philosophy) , distributed parameter system , mathematical analysis , algorithm , artificial intelligence , control (management) , philosophy , epistemology , evolutionary biology , biology
This paper derives an estimated function made by simple Neural Network to find initial state of optimization parameters. It changes a system of differential equations with boundary values to a system of equations with initial values. So a lot of time would be saved to solve it. As a result, the system with differential equations will reach the desired final state.Copyright © 2006 by ASME
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