1. Bakker, R., Schouten, J.C., Giles, C.L.: Learning chaotic attractors by neural networks. Neural Compuation 12, 2355–2383 (2000)
2. Leung, H., Titus, L., Wang, S.C.: Prediction of noisy chaotic time series using an optimal radial basis function neural network. IEEE Trans. Neural Networks 12, 1163–1172 (2001)
3. Müller, K.R., Smola, A.J., Rätsch, G.: Using support vector machines for time series predicting. In: Proc. of Int. Conf. Artifical Neural Networks, pp. 999–1004. Springer, Heidelberg (1997)
4. Williams, C.K.I., Rasmussen, C.E.: Gaussian processes for regression. In: Advances in Neural Information Processing Systems 8 (NIPS), pp. 598–604. MIT Press, Cambridge (1996)
5. Lecture Notes in Computer Science;D.J.C. Mackay,1997