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Special issue SOCO 2020: New trends in soft computing and its application in industrial and environmental problems.

, , , , и . Neurocomputing, (2022)

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Emilio Voigt

Emilio Francesquini

Emilio Vallina

Emilio Serra

Emilio Giannandrea

 

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Innovations in nature inspired optimization and learning methods., и . Neurocomputing, (2014)Neural PCA and Maximum Likelihood Hebbian Learning on the GPU., , , , и . ICANN (2), том 7553 из Lecture Notes in Computer Science, стр. 132-139. Springer, (2012)Recent advancements in hybrid artificial intelligence systems and its application to real-world problems., , , , , и . Neurocomputing, (2016)Editorial: Special issue HAIS12-IGPL., , , , , , и . Logic Journal of the IGPL, 23 (3): 355-358 (2015)Optimizing the operating conditions in a high precision industrial process using soft computing techniques., , , и . Expert Syst. J. Knowl. Eng., 29 (3): 276-299 (2012)Computational intelligence applied to cybersecurity., , , , и . Expert Syst. J. Knowl. Eng., (2022)Soft computing models to analyze atmospheric pollution issues., , и . Log. J. IGPL, 20 (4): 699-711 (2012)Editorial: Special issue CISIS12-IGPL., , , , , и . Log. J. IGPL, 23 (1): 1-3 (2015)Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning., , , , , , , и . Log. J. IGPL, 30 (6): 1056-1073 (2022)Intelligent Model for Electromyogram (EMG) Signal Prediction During Anesthesia., , , , и . J. Multiple Valued Log. Soft Comput., 32 (3-4): 205-220 (2019)