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Non Linear Process Identification Using a Neural Network Based Multiple Models Generator., , и . IWANN (2), том 2687 из Lecture Notes in Computer Science, стр. 647-654. Springer, (2003)A Machine-Learning Based Approach for Data-Driven Identification of Heating Dynamics of Buildings' Living-Spaces., , , , и . IDAACS, стр. 197-202. IEEE, (2019)Data Driven Multiple Neural Network Models Generator Based on a Tree-like Scheduler., , и . IWANN (1), том 2686 из Lecture Notes in Computer Science, стр. 382-389. Springer, (2003)A Hybrid Multi-Experts Approach for Mechanical Defects' Detection and Diagnosis., , и . CISIM, стр. 59-64. IEEE Computer Society, (2008)Toward Emotional Machine-Awareness: An A.I. Based Model for Artificial Aesthetic Perception., , , , и . IDAACS, стр. 253-258. IEEE, (2023)Neurocomputer based Complexity estimator Optimizing a Hybrid Multi Neural Network Structure., , , и . Int. J. Comput., 7 (3): 122-129 (2008)On board data fusion and decision system used for obstacle detection: a network and a real time approach., , , и . RTS, стр. 193-200. IEEE, (1991)Auto-adaptive Neural Network Tree Structure Based on Complexity Estimator., , и . IWANN (1), том 2686 из Lecture Notes in Computer Science, стр. 558-565. Springer, (2003)Multi-neural Network Approach for Classification of Brainstem Evoked Response Auditory., , , , и . ICAISC, том 3070 из Lecture Notes in Computer Science, стр. 1043-1049. Springer, (2004)Estimating Complexity of Classification Tasks using neurocomputers Technology., , и . Int. J. Comput., 8 (1): 43-52 (2009)