Similarity-based heterogeneous neurons in the context of general observational models

Neural Network World

Volumn 12, Issue 5, 2002, Pages 499-507

  Valdés, Julio J ^a  

^a NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

General relational structures; Heterogeneous data; Heterogeneous neuron models; Similarity functions

Indexed keywords

COMPUTER SIMULATION; CONFORMAL MAPPING; DATA MINING; DATA PROCESSING; FUNCTIONS; FUZZY SETS; GENETIC ALGORITHMS; PARAMETER ESTIMATION; PATTERN RECOGNITION; TIME SERIES ANALYSIS;

GENERAL RELATIONAL STRUCTURES; HETEROGENEOUS NEURON MODELS; OBSERVATIONAL MODELS; SIMILARITY BASED HETEROGENEOUS NEURONS; SIMILARITY FUNCTIONS;

NEURAL NETWORKS;

EID: 0036434598     PISSN: 12100552     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. Belanche Ll., Valdés J. J.: Fuzzy Inputs and Missing Data in Similarity Based Heterogeneous Neural Networks. Proc. Int. Work-Conf. on Artificial and Natural Neural Networks, IWANN'99. Engineering Applications of Bio-Inspired Artificial Neural Networks. Notes in Computer Science LNCS-1607. Springer Verlag, 1999, pp. 863-873.
2. Belanche Ll.: Heterogeneous neural networks: Theory and applications. PhD Thesis, Department of Languages and Informatic Systems, Polytecnic University of Catalonia, Barcelona, Spain, July, 2000.
3. Bunke H., Meemer B.: Similarity measures for structures representations. First European Workshop on Case-Based Reasoning, 1993, pp. 106-118.
4. Chandon J. L., Pinson S.: Analyse Typologique. Thorie et Applications. Masson, Paris, 1981.
5. Fonck P., Fodor J., Roubens M.: An application of aggregation procedures to the definition of measures of similarity between fuzzy sets. Fuzzy Sets and Systems, 97, 3, 1998, pp. 67-74.
6. Gaussier E., Goutte C., Popat K., Chen F.: A hierarchical model for clustering and categorizing documents. In F. Crestani and C. J van Rijsbergen (eds) ECIR 2002, Lecture Notes in Computer Science LNCS, 2002, pp. 229-247.
7. Hajek P., Havranek T.: Mechanizing Hypothesis Formation. Springer Verlag. 1978.
8. Losada D. E, Barreiro A.: A logical model for information retrieval based on propositional logic and belief revision. The Computer Journal, 44, 5, 2001, pp. 410-424.
9. Masters T.: Neural, Novel & Hybrid Algorithms for Time Series Prediction. John Wiley & Sons, 1995.
10. Orlowska E., Szalas A. (ed.): Relational methods in computer science applications. Springer-Physica Verlag, 2001, pp. 263-285.
11. Pappis C. P., Karacapilidis N. I.: A comparative assessment of measures of similarity of fuzzy values. Fuzzy Sets and Systems, 56, 1993, pp. 171-174.
12. Prechelt L.: Proben1 A Set of Neural Network Benchmark Problems and Benchmarking Rules Faultät für Informatik, Universität Karslruhe, Germany. Technical Report 21/94. ftp://ftp.ira.uka:/pub/neuron, 1994.
13. Rubper Y., Tomasi C., Guibas L. J.: Adaptive color image embeddings for database navigation. Proc. IEEE Asian Conf. on Computer Vision, 1998, pp. 105-111.
14. Valdés J. J., García R.: A model for heterogeneous neurons and its use in configuring neural networks for classification problems. Proc. IWANN'97, Int. Conf. On Artificial and Natural Neural Networks. Lecture Notes in Computer Science 1240, Springer Verlag, 1997, pp. 237-246.
15. Valdés J. J., Belanche Ll., Alquézar R.: Fuzzy heterogeneous neurons for imprecise classification problems. Int. Jour. Of Intelligent Systems, 15, 3, 2000, pp. 265-276.
16. Valdés J. J.: Similarity-based Neuro-Fuzzy Networks and Genetic Algorithms in Time Series Models Discovery. NRC/ERB-1093, 9, pp. NRC 44919, 2002.
17. Valtchev P., Euzenat J.: Dissimilarity measure for collection of objects and values. In P. Cohen, X. Liu and M. Bertold, eds, Advances in Intelligent Data Analysis. Proc. of the IDA-97, no. Lecture Notes in Computer Science LNCS 1280, 1997, pp. 259-272.
18. Wang J. Z., Wiederhold G., Firschein O., Wei X.: Content-based image indexing and searching using Daubechies' wavelets. Int. Jour. of Digit. Libr., 1, 1997, pp. 311-328.
19. Wang J. Z., Li J., Wiederhold G.: SIMPLicity: Semantics-sensitive integrated matching for picture LIbraries. IEEE Trans. on Pat. Anal. and Machine Intelligence, 23, 9, 2001, pp. 947-963.
20. Wang W.-J.: New similarity measures on fuzzy sets and on elements. Fuzzy Sets and Systems, 85, 1997, pp. 305-309.
21. Will T.: Switching distance between graphs with the same degrees. SIAM J. Discrete Math, 12, 3, 1999, pp. 298-306.
22. Zadeh L.: The role of soft computing and fuzzy logic in the conception, design and deployment of intelligent systems. Proc. Sixth Int IEEE Int. Conf. On Fuzzy Systems, Barcelona, July 1-5, 1997.