Journal Contributions: Published

Jump to Year:
        2007  2006  2005  2004  2002  2001  1998  1996  1994  1988
      

2007
	R.G. Regis, C.A. Shoemaker. Parallel radial basis function methods for the global optimization of expensive functions. European Journal of Operational Research, 182:2 (2007) 514-535			bib
2006
	D. Manrique, J. Rios, A. Rodriguez-Paton. Evolutionary system for automatically constructing and adapting radial basis function networks. Neurocomputing 69:16 (2006) 2268-2283			bib
2005
	A. Alexandridis, P. Patrinos, H. Sarimveis, G. Tsekouras. A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models. Chemometrics and Intelligent Laboratory Systems 75:2 (2005) 149-162			bib
2004
	V.M. Rivas, J.J. Merelo, P.A. Castillo, M.G. Arenas, J.G. Castellano. Evolving RBF neural networks for time-series forecasting with EvRBF. Information Sciences 165:3-4 (2004) 207-220			bib
2002
				bib
2001
	F. Schwenker, H. Kestler, G. Palm. Three learning phases for radial-basis-function networks. Neural Networks 14 (2001) 439-458			bib
1998
	A. Leonardis, H. Bischof. And ef cient MDL-based construction of RBF networks. Neural Networks 11 (1998) 963-973			bib
1996
	B.A. Whitehead, T.D. Choate. Cooperative-Competitive Genetic Evolution of Radial Basis Function Centers and Widths for Time Series Prediction. IEEE Transactions on Neural Networks 7:4 (1996) 869-869		bib
1994
	B.A. Whitehead, T.D. Choate. Evolving space-filling curves to distribute radial basis functions over an input space. IEEE Transactions on Neural Networks 5 (1994) 15-23			bib
1988
	D.S. Broomhead, D. Lowe. Multivariable Functional Interpolation and Adaptative Networks. Complex Systems 11 (1988) 321-355		bib

 Conference Contributions

Jump to Year:   2000  1997

2000
	E.G.M. De Lacerda, A.C.P.L.F. De Carvalho, T.B. Ludermir. Evolutionary optimization of RBF networks. VI Brazilian Symposium on Neural Networks (SBRN'00). Lecture Notes in Computer Science 0, Springer-Verlag 2000, Rio de Janeiro (Brazil, 2000) 219-224			bib
1997
	E.P. Maillard, D. Gueriot. RBF neural network, basis functions and genetic algorithms. IEEE International Conference Neural Networks (ICNN'97). Lecture Notes in Computer Science 0, Springer-Verlag 1997, Houston (USA, 1997) 2187-2190			bib

If you would like to add a new reference in this specific topic, please contact:
     Víctor Manuel Rivas Santos ()