advances in applied artificial intelligence

advances in applied artificial intelligence

advances in applied artificial intelligence

... training RMSE during the 15 epoch learning using four different membership functions for 90% and 80% training data. Eighty-one fuzzy if-then rules were created initially using a grid-partitioning ... diagnosis. Artificial Intelligence in Medicine, 27(2), 129-154. Tran, C., Abraham, A., & Jain, L. (2004). Modeling decision support systems using hybrid neurocomputing. Neurocomputing, 61C, ... 10. Training convergence using evolutionary algorithms Table 4. Training and test performance of Mamdani FIS using EA’s Root Mean Squared Error (RMSE) Data A Data B Training Test Training Test...

Ngày tải lên: 01/06/2014, 01:15

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recent advances in applied probability - springer

recent advances in applied probability - springer

... geometrical nature. Let be the intersection point of the support line (corresponding to with Z (if the intersection is a 68 RECENTS ADVANCES IN APPLIED PROBABILITY C OROLLARY 3 In the situation of ... securi- ties, and a increasing number of investors, make it rather necessary to improve those models usually applied when dealing with pricing issues or interest-rate linked topics. Summarizing, probabilistic ... obtained by a simple generalization of (1.6). Consider with addition modulo The addition may be interpreted as a rotation of straight lines around origin in the plane 76 RECENTS ADVANCES IN APPLIED...

Ngày tải lên: 31/03/2014, 16:25

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