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Identification of fuzzy systems by means of genetic optimization and data granulation.

, , и . J. Intell. Fuzzy Syst., 18 (1): 31-41 (2007)

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Jun-Youb Park

Seong Jun Park

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Text augmented automatic statistician for predicting approval rates of politicians., , и . SMC, стр. 954-959. IEEE, (2017)Structural developments of fuzzy systems with the aid of information granulation., , и . Simul. Model. Pract. Theory, 15 (10): 1292-1309 (2007)A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms., , , и . RACS, стр. 330-335. ACM, (2011)Optimization of Non-fuzzy Neural Networks Based on Crisp Rules in Scatter Partition., , , , и . FCC, том 301 из Lecture Notes in Electrical Engineering, стр. 103-109. Springer, (2014)Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization., , и . RSCTC, том 4259 из Lecture Notes in Computer Science, стр. 467-476. Springer, (2006)Occupancy-Based Energy Consumption Estimation Improvement through Deep Learning., , и . Sensors, 23 (4): 2127 (февраля 2023)Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms., , и . FUZZ-IEEE, стр. 2013-2018. IEEE, (2009)A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method., , и . Simul. Model. Pract. Theory, 15 (9): 1128-1145 (2007)Adversarial Dropout for Supervised and Semi-supervised Learning., , , и . CoRR, (2017)Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation., , , и . IWANN, том 3512 из Lecture Notes in Computer Science, стр. 391-398. Springer, (2005)