Neural spectral composition for function approximation

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 2, Issue , 1997, Pages 860-864

  Pelagotti, A ^a   Piuri, V ^b  

^a TXT Ingegneria Informatica   (Italy)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATED FUNCTIONS; APPROXIMATION ERRORS; ARCHITECTURE ADAPTATION; CIRCUIT ARCHITECTURES; FUNCTION APPROXIMATION; MODULARIZED; SPECTRAL COMPOSITION; SYNTHESIS PROCEDURE;

SPECTRUM ANALYSIS; APPROXIMATION THEORY; ELECTRIC NETWORK SYNTHESIS; FOURIER TRANSFORMS; LEARNING SYSTEMS; TRANSFER FUNCTIONS;

NEURAL NETWORKS;

NEURAL SPECTRAL COMPOSITION;

EID: 0030660012     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNN.1997.616137     Document Type: Conference Paper

References (3)

1. K. Hornik, M. Stinchombe, H. White "Multilayer feedforward networks are universal approximators, Neural Networks", vol. 2, 1989.
2. A.V.O. Oppenheim, R.W. Schafer "Digital signal processing", Prentice Hall, 1975.
3. W. H. Press, B. P. Flannery, S. A. Teukolsky, W. T. Vetterling, "Numerical Recipes in C", Cambridge University Press, 1988.