Details for Paper Id: 70

Title: DESIGN OF AIRFOIL USING BACKPROPAGATION TRAINING WITH MIXED APPROACH
Abstract: Levenberg-Marquardt back-propagation training method has some limitations associated with over fitting and local optimum problems. Here, we proposed a new algorithm to increase the convergence speed of Backpropagation learning to design the airfoil. The aerodynamic force coefficients corresponding to series of airfoil are stored in a database along with the airfoil coordinates. A feedforward neural network is created with aerodynamic coefficient as input to produce the airfoil coordinates as output. In the proposed algorithm, for output layer, we used the cost function having linear [ampersand] nonlinear error terms then for the hidden layer,
Keywords linear error, nonlinear error,
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Uploader's ID 31
Submission Time 2015-06-25 22:42:11
Paper Review Status 5