Metamodelling of queuing systems using fuzzy graphs

Elektronika ir Elektrotechnika

Volumn , Issue 4, 2009, Pages 61-64

  Lauks, G ^a   Jelinskis J ^a  

^a RIGA TECHNICAL UNIVERSITY   (Latvia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 80051542413     PISSN: 13921215     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Berthold M. R., Huber K. P. Neural Network based Construction of Fuzzy Graphs.
2. Berthold M. R., Huber K. P. From Radial to Rectangular Basis Functions: A new Approach for Rule Learning from Large Datasets.
3. Soler V., Roig J., Prim M. Fuzzy Rule Extraction Using Recombined RecBF for Very-Imbalanced Datasets
4. Soler V., Prim M. Rectangular Basis Functions Applied to Imbalanced Datasets.
5. Merkurjeva G., Napalkova L. Applications of Neurofuzzy training algorithms to simulation metamodeling.
6. Bertoli M., Casale G., Serazzi G. The JMT Simulator for Performance Evaluation of Non-Product-Form // Queueing Networks, Simulation Symposium, ANSS 40th Annual. - 2007. - P. 3-10. (Pubitemid 47133077)
7. Berthold M. R., Diamond J. Boosting the performance of RBF networks with dynamic decay adjustment // Advances in Neural Information Processing Systems. MIT press. - 1995. - P. 521-528.
8. Berthold M. R., Huber K. P. Neural Network based Construction of Fuzzy Graphs // Second Annual Joint Conference on Information Sciences. North Carolina, USA. - 1995.