Reconstruction of noisy Bezier curves using artificial neural networks

Abstract

The current work examines the reconstruction of Bezier curves with noisy data using artificial neural networks. Feed forward network with back propagation learning is used to fit the noisy data of the Bezier curves. Different parameters like learning rate, number of hidden layer neurons and number of epochs are studied and the results are compared for different runs. The best suited parameters are established for this specific problem.