Improving the performance of resource allocation networks through hierarchical clustering of high-dimensional data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2714, Issue , 2003, Pages 867-874

  Tsapatsoulis, Nicolas ^a   Wallace, Manolis ^a   Kasderidis, Stathis ^b  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; CLUSTERING ALGORITHMS; INTELLIGENT SYSTEMS; IONOSPHERE; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS;

AMBIENT INTELLIGENCE; CLUSTERING PROCEDURE; HIER-ARCHICAL CLUSTERING; HIGH DIMENSIONAL DATA; NEURAL NETWORK SYSTEMS; RESOURCE ALLOCATING NETWORKS; RESOURCE ALLOCATION NETWORKS; UNSUPERVISED CLUSTERING METHODS;

NETWORK ARCHITECTURE;

EID: 35248895327     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44989-2_103     Document Type: Article

References (9)

1. Vapnik, V.: Statistical Learning Theory. John Willey and sons (1998)
2. Platt, J.: A resource-allocating network for function interpolation. Neural Computing 3, (1991) 213-225
3. Lee, K., Street, W. N.: Intelligent Image Analysis using adaptive resource allocating networks. Procs of IEEE International Workshop on NN for Signal Processing (2001)
4. Theodoridis, S., Koutroumbas, K.: Pattern Recognition, Academic Press (1998)
5. Nauk, D., Kruse, R.: A neuro-fuzzy method to learn fuzzy classification rules from data. Fuzzy sets and Systems 8 (1997) 277-288
6. Kasabov, N., Woodford, B.: Rule insertion and rule extraction from evolving fuzzy neural networks: Algorithms and applications for building adaptive, intelligent, expert systems. Procs of FUZZ-IEEE'99, (1999) 1406-1411
7. Kasabov, N.: Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems. Fuzzy Sets and Systems 82, (1996) 135-149
8. Halgamuge, S., Glesner, M.: Neural Networks in designing fuzzy systems for real world applications. Fuzzy Sets and Systems 65, (1994) 1-12
9. Mitra, S., DE, R.K., Pal, S.K.: knowledge-based fuzzy MLP for classification and rule generation. IEEE Trans. Neural Networks 8, (1997) 1338-1350