Circuital implementation of support vector machines

Electronics Letters

Volumn 34, Issue 16, 1998, Pages 1596-1597

  Anguita, D ^a   Ridella, S ^a   Rovetta, S ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MATRIX ALGEBRA; VECTORS;

SUPPORT VECTOR MACHINES (SVM);

NEURAL NETWORKS;

EID: 0032490761     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19981092     Document Type: Article

References (5)

1. VAPNIK, V.N.: 'The nature of statistical learning theory' (Springer-Verlag, 1995)
2. VAPNIK, V.N., GOLOWICH, S., and SMOLA, A.: 'Support vector method for function approximation, regression estimation, and signal processing', Adv. Neural Inf. Process. Syst., 1997, 9, pp. 281-287
3. KENNEDY, M.P., and CHUA, L.O.: 'Neural networks for nonlinear programming', IEEE Trans. Circuits Syst., 1988, CAS-35, (5), pp. 554-562.
4. CHEN, J., SHANBLATT, M.A., and MAA, C.: 'Improved neural networks for linear and nonlinear programming', Int. J. Neural Syst., 1992, 2, (4), pp. 331-339
5. MAA, C., and SHANBLATT, M.A.: 'Linear and quadratic programming neural network analysis', IEEE Trans. Neural Netw., 1992, 3, (4), pp. 580-594