摘要：The aim of this paper is to design a feed forward artificial neural network (Ann) to estimate one dimensional noisy Asymmetric dynamical map by selecting an appropriate network, transfer function and node weights to get noisy Asymmetric dynamical map estimation. The proposed network side by side with using Fast Fourier Transform (FFT) as transfer function is used. For different cases of the system, noisy Asymmetric Logistic noisy Asymmetric Logistic -Tent and noisy Asymmetric Tent-Logistic, the experimental results of proposed algorithm will compared empirically, by means of the mean square error (MSE) with the results of the same network but with traditional transfer functions, Logsig and Tagsig. The performance of proposed algorithm is best from others in all cases from Both sides, speed and accuracy.
关键词：FFT; Logsig; Tagsig; Feed Forward neural network; Transfer function; Noisy Asymmetric map; Noise normal
