MULTILAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS

[1] CAUDILL M, 1987, 1ST IEEE INT C NEUR

[2] Dugundji J., 1966, TOPOLOGY

[3] GALLANT AR, 1988, 2ND IEEE INT C NEUR, P657

[4] Grenander U., 1981, ABSTRACT INFERENCE

[5] Halmos P. R., 1974, MEASURE THEORY

[6] HECHTNIELSON R, 1987, 1ST IEEE INT C NEUR, P11

[7] HORNIK K, 1988, 8845 U CAL DEP EC DI

[8] IRIE B, 1988, 2ND IEEE INT C NEUR, P641

[9] Jurafsky D., 2001, LAUR88418 LOS AL NAT, V1

[10] KOLMOGOROV AN, 1957, DOKL AKAD NAUK SSSR+, V114, P953

[1] CAUDILL M, 1987, 1ST IEEE INT C NEUR

[2] Dugundji J., 1966, TOPOLOGY

[3] GALLANT AR, 1988, 2ND IEEE INT C NEUR, P657

[4] Grenander U., 1981, ABSTRACT INFERENCE

[5] Halmos P. R., 1974, MEASURE THEORY

[6] HECHTNIELSON R, 1987, 1ST IEEE INT C NEUR, P11

[7] HORNIK K, 1988, 8845 U CAL DEP EC DI

[8] IRIE B, 1988, 2ND IEEE INT C NEUR, P641

[9] Jurafsky D., 2001, LAUR88418 LOS AL NAT, V1

[10] KOLMOGOROV AN, 1957, DOKL AKAD NAUK SSSR+, V114, P953