Get Artificial Intelligence: Methods and Applications: 8th PDF

By Aristidis Likas, Konstantinos Blekas, Dimitris Kalles

ISBN-10: 3319070630

ISBN-13: 9783319070636

ISBN-10: 3319070649

ISBN-13: 9783319070643

This publication constitutes the lawsuits of the eighth Hellenic convention on synthetic Intelligence, SETN 2014, held in Ioannina, Greece, in might 2014. There are 34 typical papers out of 60 submissions, furthermore five submissions have been authorised as brief papers and 15 papers have been permitted for 4 precise classes. They take care of emergent themes of man-made intelligence and are available from the SETN major convention in addition to from the next distinctive classes on motion languages: conception and perform; computational intelligence concepts for bio sign research and assessment; video game man made intelligence; multimodal suggestion structures and their purposes to tourism.

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Additional info for Artificial Intelligence: Methods and Applications: 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings

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Generally speaking, the 10fold periodic hold-out procedure is appealing to be vetted, as it simulates the training and testing processes in the real time. Table 1. 7 2160 pClass eClass Weather Referring to Table 1, pClass can on the one hand outperform other benchmarked classifiers, where it can dispatch the most reliable classification rates, while retaining the most compact and parsimonious rule base, verified by the number of rule base parameters and fuzzy rules. On the other hand, OS-ELM can beat pClass in the realm of the execution time.

If β < βˆ − β , where βˆ , β are the average and standard deviation of fuzzy rule i σ σ statistical contributions, the fuzzy rule looms to the classifier’s output during its lifespan, it can be pruned without an adverse loss of accuracy. Clearly, the ERS method is expedient as the fuzzy rules holding a tiny zone of influence and a minor local submodel do not affect substantially to the overall system outputs. The second approach is obtained by the enhanced version of the potential theory of [4], [29], termed Potential + (P+) method.

An approach to online identification of Takagi-Sugeno fuzzy models. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34, 484–498 (2004) 5. : Multivariable Gaussian Evolving Fuzzy Modeling System. IEEE Transactions on Fuzzy Systems 19(1), 91–104 (2011) 6. : PANFIS: A Novel Incremental Learning. IEEE Transactions on Neural Networks and Learning Systems (2013) (online and in press) 7. : Simpl_eTS: A simplified method for learning evolving TakagiSugeno fuzzy models. In: IEEE International Conference on Fuzzy Systems (FUZZ), pp.

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Artificial Intelligence: Methods and Applications: 8th Hellenic Conference on AI, SETN 2014, Ioannina, Greece, May 15-17, 2014. Proceedings by Aristidis Likas, Konstantinos Blekas, Dimitris Kalles


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