Preview
Unable to display preview. Download preview PDF.
References
B.H. Ahn, “Iterative methods for linear complementarity problems with upperbounds on primary variables”, Mathematical Programming 26 (1983) 295–315.
L.O. Chua and L. Yang, “Cellular neural networks: Theory”, and “Cellular neural networks: Applications”, IEEE Transactions on Circuits and Systems, CAS-35 (1988) 1257–1272 and 1273–1290.
R.W. Cottle, “Complementarity and variational problems”, Symposia Mathematica (Istituto Nazionale di Alta Matematica) 19 (1976) 177–208.
M. Fiedler, V. Pták, “Some generalizations of positive definiteness and monotonicity”, Numerische Mathematik 9 (1966) 163–172.
J.L. Goffin, “The relaxation method for solving systems of linear inequalities”, Mathematics of Operations Research 5 (1980), 388–414.
J.J. Hopfield.. “Neural networks and physical systems with emergent collective computational abilities”, Proc. Nat. Acad. Sci. USA, 79 (1982), 2254–2558.
K.G. Murty, “On the number of solutions to the complementarity problem and spanning properties of complementary cones”, Linear Algebra and its Applications 5 (1972) 65–108.
J.S. Pang, “Asymmetric variational inequality problems over product sets: applications and iterative methods”, Mathematical Programming, 31 (1985) 206–219.
L. Vandenberghe and J. Vandewalle (1989), “Brain-state-in-a-box neural networks with asymmetric coefficients,” Proc. 1989 Intern. Joint Conf. Neural Net., Vol.1, pp.627–630.
L. Vandenberghe and J. Vandewalle (1989), “Application of relaxation methods to the adaptive training of neural networks,” presented at the Intern. Conf. Mathe. Theory Net. Syst., June 1989, Amsterdam.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1990 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vandenberghe, L., Tan, S., Vandewalle, J. (1990). Cellular neural networks: Dynamic properties and adaptive learning algorithm. In: Almeida, L.B., Wellekens, C.J. (eds) Neural Networks. EURASIP 1990. Lecture Notes in Computer Science, vol 412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52255-7_35
Download citation
DOI: https://doi.org/10.1007/3-540-52255-7_35
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-52255-3
Online ISBN: 978-3-540-46939-1
eBook Packages: Springer Book Archive