1. Abu-Mostafa, Y.S.: The Vapnik-Chervonenkis dimension: Information versus complexity in learning. Neural Computation 1(3), 312–317 (1989)
2. Buchholz, S., Sommer, G.: A hyperbolic multilayer perceptron. In: Amari, S.-I., Giles, C.L., Gori, M., Piuri, V. (eds.) International Joint Conference on Neural Networks, IJCNN 2000, Como, Italy, vol. 2, pp. 129–133. IEEE Computer Society Press, Los Alamitos (2000)
3. Cybenko, G.: Approximation by superposition of a sigmoidal function. Mathematics of Control, Signals and Systems 2, 303–314 (1989)
4. Fahlman, S.E., Lebiere, C.: The cascade-correlation learning architecture. In: Touretzky, D.S. (ed.) Advances in Neural Information Processing Systems, Denver 1989, vol. 2, pp. 524–532. Morgan Kaufmann, San Mateo (1990)
5. Fisher, R.A.: The use of multiple measurements in axonomic problems. Annals of Eugenics 7, 179–188 (1936)