Abstract: A new fractal interpolation method called NNA (Neural Network Algorithm) based on IFS is proposed to interpolate the self-affine signals with the expected interpolation error. Experiments on the theoretical data and real field seismic data show that the proposed interpolation schemes can not only get the expected point’s value but also get a great accuracy in reconstruction of the seismic profile, leading to a significant improvement over other trace interpolation methods.