Resilient back propagation learning algorithm for recurrent fuzzy neural networks

Electronics Letters

Volumn 40, Issue 1, 2004, Pages 57-58

  Mastorocostas, P A ^a  

^a TECHNOLOGICAL EDUCATIONAL INSTITUTE OF SERRES   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; DIFFERENCE EQUATIONS; ELECTROMAGNETIC WAVE ATTENUATION; FUZZY CONTROL; LEARNING ALGORITHMS; OPTIMIZATION; RECURSIVE FUNCTIONS;

BACK PROPAGATION THROUGH TIME (BPTT); ERROR FUNCTIONS; STANDARD DEVIATIONS;

RECURRENT NEURAL NETWORKS;

EID: 0347760420     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20040052     Document Type: Article

References (5)

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2. Juang, C.-F., and Lin, C.-T.: 'A recurrent self-organizing neural fuzzy inference network', IEEE Trans. Neural Netw., 1999, 10, (4), pp. 828-845
3. Riedmiller, M., and Braun, H.: 'A direct adaptive method for faster backpropagation learning: the RPROP algorithm'. Proc. IEEE Int. Joint Conf. on Neural Networks, San Francisco, CA, USA, 1993, pp.586-591
4. Igel, C., and Husken, M.: 'Empirical evaluation of the improved RPROP learning algorithms', Neurocomputing, 2003, (50), pp. 105-123
5. Mastorocostas, P., and Theocharis, J.: 'A recurrent fuzzy neural model for dynamic system identification', IEEE Trans. Syst. Man Cybern B, Cybern., 2002, 32, (2), pp. 176-190