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Particle Swarm Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for the Taiwan Stock Exchange.

, , and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)

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Interval Type-2 Fuzzy Logic for Module Relevance Estimation in Sugeno Integration of Modular Neural Networks., , and . Soft Computing for Hybrid Intelligent Systems, volume 154 of Studies in Computational Intelligence, Springer, (2008)A visual toolbox for modeling and testing multi-net neural systems., , , and . Comput. Appl. Eng. Educ., 21 (1): 164-184 (2013)Response integration in modular neural networks using Choquet Integral with Interval type 2 Sugeno measures., , , , , and . NAFIPS/WConSC, page 1-6. IEEE, (2015)General Type-2 fuzzy edge detectors applied to face recognition systems., , , , and . NAFIPS, page 1-6. IEEE, (2016)Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images., , , and . Recent Advances on Hybrid Intelligent Systems, volume 451 of Studies in Computational Intelligence, Springer, (2013)The Use of Interval Type-2 Fuzzy Logic as a General Method for Edge Detection., , and . IFSA/EUSFLAT Conf., page 774-779. (2009)General Type-2 Fuzzy Sugeno Integral for Edge Detection., , , and . J. Imaging, 5 (8): 71 (2019)Particle Swarm Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for the Taiwan Stock Exchange., , and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)Comparison of Fuzzy Edge Detectors Based on the Image Recognition Rate as Performance Index Calculated with Neural Networks., , , and . Soft Computing for Recognition Based on Biometrics, volume 312 of Studies in Computational Intelligence, Springer, (2010)Neural networks recognition rate as index to compare the performance of fuzzy edge detectors., , and . IJCNN, page 1-6. IEEE, (2010)