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Pattern Recognition Using Modular Neural Networks and Fuzzy Integral as Method for Response Integration.

, , , and . Analysis and Design of Intelligent Systems using Soft Computing Techniques, volume 41 of Advances in Soft Computing, Springer, (2007)

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Intelligent Control of a Motor Drive Using a Hybrid Neuro-Fuzzy Approach., and . JCIS, page 549-552. JCIS / Association for Intelligent Machinery, Inc., (2002)A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosis., , and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)A Method for Response Integration in Modular Neural Networks using Interval Type-2 Fuzzy Logic., , and . FUZZ-IEEE, page 1-6. IEEE, (2007)Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic., and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)A New Hybrid PSO Method Applied to Benchmark Functions., , and . Nature-Inspired Design of Hybrid Intelligent Systems, volume 667 of Studies in Computational Intelligence, Springer, (2017)Optimization of Modular Neural Network, Using Genetic Algorithms: The Case of Face and Voice Recognition., , and . Soft Computing for Hybrid Intelligent Systems, volume 154 of Studies in Computational Intelligence, Springer, (2008)Parallel Genetic Algorithms for Architecture Optimization of Neural Networks for Pattern Recognition., , and . Soft Computing for Recognition Based on Biometrics, volume 312 of Studies in Computational Intelligence, Springer, (2010)A New Evolutionary Method with Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Systems to Dynamically Parameter Adaptation., and . Soft Computing for Recognition Based on Biometrics, volume 312 of Studies in Computational Intelligence, Springer, (2010)Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies., , and . Soft Computing for Recognition Based on Biometrics, volume 312 of Studies in Computational Intelligence, Springer, (2010)Optimization of type-2 fuzzy systems based on the level of uncertainty, applied to response integration in modular neural networks with multimodal biometry., , , and . IJCNN, page 1-6. IEEE, (2010)