Page 166 - Rapid Learning in Robotics

152 BIBLIOGRAPHY

Montana, D. and L. Davis (1989). Training feedforward networks using
genetic algorithms. In N. Sridharan (Ed.), Proc 11th Int Joint Conf on
Artificial Intelligence, Detroit, pp. 762–767. Morgan Kaufmann.

Moody, J. and C. Darken (1988). Learning with localized receptive
fields. In Proc. Connectionist Models Summer School, pp. 133–143. Mor-
gan Kaufman Publishers, San Mateo, CA.

Murphy, R. (1995). Sensor fusion. See Arbib (1995). (ed.).
Obermayer, K., H. Ritter, and K. Schulten (1990, nov). A principle for the
formation of the spatial structure of cortical feature maps. In Proc.
Natl. Acad. Sci., USA Neurobiology, Volume 87, pp. 8345–8349.

Parker, D. (1985). Learing logic. Tech. Rep. TR-47, Center for Computa-
tional Research in Economics and Mangement Sciencs, MIT.
Paul, R. (1981). Robot Manipulators: Mathematics, Programming, and Con-
trol. MIT.

Platt, J. (1991). A resource-allocating network for function interpolation.
Neural Computation 3, 213–255.

Poggio, T. and F. Girosi (1990). Networks for best approximation and
learning. Proc. of IEEE 78, 1481–1497.
Powell, M. (1987). Radial basis functions for multivariable interpola-
tion: A review. In Algorithms for Approximation, pp. 143–167. Oxford:
Clarendon Press.

Press, W., B. Flannery, S. Teukolsky, and W. Vetterling (1988). Numerical
Recipes in C – the Art of Scientific Computing. Cambridge Univ. Press.

Rankers, S. (1994). Steuerung einer hydraulisch betriebenen Roboter-
hand unter Echtzeitbedingungen. Diplomarbeit, Technische
Fakultät, Universität Bielefeld.

Ritter, H. (1991). Asymptotic level density for a class of vector quanti-
zation processes. IEEE Trans. Neural Networks 2, 173–175.

Ritter, H. (1993). Parametrized self-organizing maps. In S. Gielen
and B. Kappen (Eds.), Proc. Int. Conf. on Artificial Neural Networks
(ICANN-93), Amsterdam, pp. 568–575. Springer Verlag, Berlin.
Ritter, H. and T. Kohonen (1989). Self-organizing semantic maps. Biol.
Cybern 61, 241–254.