Interpolating self-organising map (iSOM)

Electronics Letters

Volumn 35, Issue 19, 1999, Pages 1649-1650

  Yin, H ^a   Allinson, N M ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC NETWORK TOPOLOGY; INTERPOLATION; LEARNING ALGORITHMS; LEARNING SYSTEMS;

INTERPOLATING SELF-ORGANIZING MAPS (ISOM);

NEURAL NETWORKS;

EID: 0032691747     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:19991149     Document Type: Article

References (7)

1. KOHONEN, T.: 'Self-organised formation of topologically correct feature maps', Biol. Cybernetics. 1982, 43, pp. 56-69
2. KOHONEN, T.: 'Self-organising maps' (Springer, Berlin, 1997)
3. MARTINETZ, T.M., and SCHULTEN, K.J.: 'A "neural-gas" network learns topologies' in KOHONEN, T., et al. (Eds.): 'Artificial neural networks' (1991), pp. 397-402
4. FRITZKE, B.: 'Growing grid - a self-organising network with constant neighbourhood range and adaptation strength', Neural Process. Lett., 1995, 2, (5), pp. 9-13
5. BAUER, H.-U., and VILLMANN, T.: 'Growing a hypercubical output space in a self-organising feature map', IEEE Trans., 1997, NN-8, (2), pp. 218-226
6. YIN, H., and ALLINSON, N.M.: 'Bayesian learning for self-organising maps', Electron. Lett., 1997, 33, (4), pp. 304-305
7. YIN, H., and ALLINSON, N.M.: 'A self-organising mixture network for density modelling'. 1998 IEEE Int. Conf. Neural Networks, Alaska, USA, 1998, Vol. 3, pp. 2277-2281