NeuroScale: Novel topographic feature extraction using RBF networks

Advances in Neural Information Processing Systems

Volumn , Issue , 1997, Pages 543-549

  Lowe, David ^a   Tipping, Michael E ^a  

^a ASTON UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BASIS FUNCTIONS; GENERALISATION; MODEL ORDER; NEIGHBOURHOOD; NEURAL NETWORK TECHNIQUES; SMOOTHING FACTORS; SUPERVISED NEURAL NETWORKS; TOPOGRAPHIC FEATURES;

FEATURE EXTRACTION;

EID: 84899005666     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Kruskal, J. B. (1964). Multidimensional scaling by optimising goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1): 1-27.
2. Lowe, D. (1993). Novel 'topographic' nonlinear feature extraction using radial basis functions for concentration coding in the 'artificial nose'. In 3rd IEE International Conference on Artificial Neural Networks. London: IEE.
3. Lowe, D. and Tipping, M. E. (1996). Feed-forward neural networks and topographic mappings for exploratory data analysis. Neural Computing and Applications, 4:83-95.
4. Mao, J. and Jain, A. K. (1995). Artificial neural networks for feature extraction and multivariate data projection. IEEE Transactions on Neural Networks, 6(2):296-317.
5. Sammon, J. W. (1969). A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, C-18(5):401-409.
6. Tipping, M. E. (1996). Topographic Mappings and Feed-Forward Neural Networks. PhD thesis, Aston University, Aston Street, Birmingham B4 7ET, UK. Available from http://www.ncrg.aston.ac.uk/.
7. Webb, A. R. (1995). Multidimensional scaling by iterative majorisation using radial basis functions. Pattern Recognition, 28(5): 753-759.