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Wavelet Based Artificial Neural Network Model of the Dynamics of Rational Map Having Poles

In this paper we have generated computer images from a C++ computer program and have then developed an artificial neural network model based on MAPE type of error from two samples of points obtained from the generated images using predictive modeling software. The obtained model was imported to Matlab Signal Processing Tool (SPTool) via Matlab workspace. We have applied a band pass filter to the model to eliminate noise from it for its frequency analysis. A wavelet produced reveals that the methodology used shall be applied to investigate properties of computer generated images from the dynamics of rational functions in frequency domain.