Books on the topic 'Radial basis function networks (RBFNs)'

Howlett, Robert J., and Lakhmi C. Jain, eds. Radial Basis Function Networks 2. Heidelberg: Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1826-0.

1931-, Haykin Simon S., ed. Regularized radial basis function networks: Theory and applications. New York: John Wiley, 2001.

Billings, S. A. Adaptive noise cancellation using recurrent radial basis function networks. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1993.

Fung, Chi Fung. On-line supervised adaptive training using radial basis function networks. Sheffield: Dept. of Automatic Control and Systems Engineering, University of Sheffield, 1994.

P, Saratchandran, and Li Yan 1972-, eds. Fully tuned radial basis function neural networks for flight control. Boston: Kluwer Academic, 2002.

Sundararajan, N. Fully Tuned Radial Basis Function Neural Networks for Flight Control. Boston, MA: Springer US, 2002.

Sundararajan, N., P. Saratchandran, and Yan Li. Fully Tuned Radial Basis Function Neural Networks for Flight Control. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-5286-1.

Billings, S. A. Dual-orthogonal radial basis function networks for nonlinear time series prediction. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1996.

Luo, W. Structure selective updating for nonlinear models and radial basis function neural networks. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1995.

Zhu, Q. M. Fast orthogonal identification of nonlinear stochastic models and radial basis function neural networks. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

Chen, S. A recursive hybrid algorithm for non-linear system identification using radial basis function networks. Sheffield: University of Sheffield, Dept. of Control Engineering, 1991.

Liu, Jinkun. Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

Radial Basis Function Networks. Physica-Verlag HD, 2010.

1954-, Howlett Robert J., and Jain L. C, eds. Radial basis function networks. Heidelberg: Physica-Verlag, 2001.

Haykin, Simon, and Paul V. Yee. Regularized Radial Basis Function Networks: Theory and Applications. Wiley-Interscience, 2001.

Haykin, Simon, and Paul V. Yee. Regularized Radial Basis Function Networks: Theory and Applications. Wiley & Sons, Incorporated, John, 2008.

Jain, Lakhmi C., and Robert J. Howlett. Radial Basis Function Networks 1: Recent Developments in Theory and Applications. Jain Lakhmi C, 2010.

Ümit, Özgüner, Graham Ronald E, and United States. National Aeronautics and Space Administration., eds. Optimal space station solar array gimbal angle determination via radial basis function neural networks. [Washington, DC]: National Aeronautics and Space Administration, 1994.

[Umlaut]Umit, [Umlaut]Ozg[Umlaut]uner, Graham Ronald E, and United States. National Aeronautics and Space Administration., eds. Optimal space station solar array gimbal angle determination via radial basis function neural networks. [Washington, DC]: National Aeronautics and Space Administration, 1994.

(Editor), Robert J. Howlett, and Lakhmi C. Jain (Editor), eds. Radial Basis Function Networks 2: New Advances in Design (Studies in Fuzziness and Soft Computing). Physica-Verlag Heidelberg, 2001.

(Editor), P. Saratchandran, and Lu Ying Wei (Editor), eds. Radial Basis Function Neural Networks With Sequential Learning: Mran and Its Applications (Progress in Neural Processing). World Scientific Publishing Company, 1999.

Radial basis function neural networks applied to NASA SSME data: Technical report #TR154/6/93. [Washington, DC: National Aeronautics and Space Administration, 1994.

(Editor), Robert J. Howlett, and Lakhmi C. Jain (Editor), eds. Radial Basis Function Networks 1: Recent Developments in Theory and Applications (Studies in Fuzziness and Soft Computing). Physica-Verlag Heidelberg, 2001.

Radial Basis Function Rbf Neural Network Control For Mechanical Systems Design Analysis And Matlab Simulation. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

Sundararajan, N., Yan Li, and P. Saratchandran. Fully Tuned Radial Basis Function Neural Networks for Flight (The International Series on Asian Studies in Computer and Information Science). Springer, 2001.