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Distributed Computing and Artificial Intelligence: 7th by Sigeru Omatu, Masao Fujimura (auth.), Andre Ponce de Leon F. PDF

By Sigeru Omatu, Masao Fujimura (auth.), Andre Ponce de Leon F. de Carvalho, Sara Rodríguez-González, Juan F. De Paz Santana, Juan M. Corchado Rodríguez (eds.)

ISBN-10: 3642148824

ISBN-13: 9783642148828

ISBN-10: 3642148832

ISBN-13: 9783642148835

The foreign Symposium on disbursed Computing and synthetic Intelli-gence (DCAI´10) is an annual discussion board that brings jointly earlier event, present paintings and promising destiny developments linked to disbursed computing, man made intelligence and their program to supply effective strategies to actual difficulties. the current version has been held on the Polytechnic college of Valencia, from 7 to ten September 2010, in the Congreso Español de Informática (CEDI 2010). know-how move during this box remains to be a problem, with a wide hole among educational learn and business items. This version of DCAI goals at contributing to minimize this hole, with a stimulating and effective discussion board the place those groups can paintings in the direction of destiny cooperation with social and economi-cal benefits.

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In this experiment the detail of the contour was not significant, but in this new and open scenario that should not be always true, then it must be seen if the system could work for K>128 and N>64. With this experiment we have completed an identification system for fish otoliths, and our next work would be to improve its performance, tuning each one of the elements and analyzing alternative solutions for all of them. Acknowledgements. This work has been supported by ‘Ajuts per a estades de recerca fora de Catalunya 2009-10’ and the Digital Technologies Research Group from the University of Vic: cost center R008-R0904.

The similarity index is defined as shown in the below and α is a constant value from 0 to 1. A Classification Method of Inquiry e-Mails for Describing FAQ Sim(Doci , Doc j ) = (1 − α ) × cosSimQ + α × cosSimA cosSimQ = Qi · Qj , |Qi | × |Qj | cosSimA = 39 (1) Ai · Aj |Ai | × |Aj | α : Constant Qi,j : Word vector o f inquiry Ai,j : Word vector o f reply Self-configured Class Dictionary Self-configured class dictionary is constructed automatically from core clusters and provides the feature of each cluster.

Neuro-Fuzzy Classification of The New and Used Bills Using Acoustic Data. In: IEEE International Conference on Systems, Man, and Cybernetics, pp. 2649–2654 (2000) 3. : Three-Level Classification of Bill Fatigue by Band-Limited Energy Patterns. IEEJ Transactions on Electronics, Information and Systems 120-C, 11, 1602–1608 (2000) (in Japanese) 4. : Classification of Fatigue Bills by a Fuzzy Learning Vector Quantization Method. In: Proceedings of the 2005 IEICE General Conference, pp. D-12–D-45.

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Distributed Computing and Artificial Intelligence: 7th International Symposium by Sigeru Omatu, Masao Fujimura (auth.), Andre Ponce de Leon F. de Carvalho, Sara Rodríguez-González, Juan F. De Paz Santana, Juan M. Corchado Rodríguez (eds.)


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