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Fuzzy logic in the gravitational search algorithm enhanced using fuzzy logic with dynamic alpha parameter value adaptation for the optimization of modular neural networks in echocardiogram recognition.

B. González, F. Valdez, P. Melin, and G. Prado-Arechiga. Appl. Soft Comput., (2015)

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Wisnu Pradoto

Roberto Prado-Fiedler

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Other publications of authors with the same name

Echocardiogram Image Recognition Using Neural Networks.B. González, F. Valdez, P. Melin, and G. Prado-Arechiga. Recent Advances on Hybrid Approaches for Designing Intelligent Systems, volume 547 of Studies in Computational Intelligence, Springer, (2014)Fuzzy logic in the gravitational search algorithm enhanced using fuzzy logic with dynamic alpha parameter value adaptation for the optimization of modular neural networks in echocardiogram recognition.B. González, F. Valdez, P. Melin, and G. Prado-Arechiga. Appl. Soft Comput., (2015)Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures.F. Rodríguez-Ruelas, P. Melin, and G. Prado-Arechiga. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, volume 601 of Studies in Computational Intelligence, Springer, (2015)Interval type-2 fuzzy logic gravitational search algorithm for the optimization of modular neural networks in echocardiogram recognition.B. González, P. Melin, F. Valdez, and G. Prado-Arechiga. SSCI, page 1-7. IEEE, (2016)Optimal Genetic Design of Type-1 and Interval Type-2 Fuzzy Systems for Blood Pressure Level Classification.J. Guzmán, I. Miramontes, P. Melin, and G. Prado-Arechiga. Axioms, 8 (1): 8 (2019)Optimization of Modular Neural Networks for the Diagnosis of Cardiovascular Risk.I. Miramontes, P. Melin, O. Carvajal, and G. Prado-Arechiga. Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms, volume 940 of Studies in Computational Intelligence, Springer, (2021)Design of Interval Type-2 Fuzzy Systems for Classification of Blood Pressure Load.J. Guzmán, P. Melin, and G. Prado-Arechiga. Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, volume 827 of Studies in Computational Intelligence, Springer, (2020)Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition Applications.B. González, P. Melin, F. Valdez, and G. Prado-Arechiga. Fuzzy Logic Augmentation of Neural and Optimization Algorithms, volume 749 of Studies in Computational Intelligence, Springer, (2018)Optimal Design of Interval Type-2 Fuzzy Heart Rate Level Classification Systems Using the Bird Swarm Algorithm.I. Miramontes, J. Guzman, P. Melin, and G. Prado-Arechiga. Algorithms, 11 (12): 206 (2018)Toward Improving the Fuzzy KNN Algorithm Based on Takagi-Sugeno Fuzzy Inference System.E. Ramírez, P. Melin, and G. Prado-Arechiga. NAFIPS, volume 1337 of Advances in Intelligent Systems and Computing, page 237-252. Springer, (2020)