Titlebook: Recent Advances on Hybrid Approaches for Designing Intelligent Systems; Oscar Castillo,Patricia Melin,Janusz Kacprzyk Book 2014 Springer I

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書目名稱Recent Advances on Hybrid Approaches for Designing Intelligent Systems被引頻次




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書目名稱Recent Advances on Hybrid Approaches for Designing Intelligent Systems年度引用學(xué)科排名




書目名稱Recent Advances on Hybrid Approaches for Designing Intelligent Systems讀者反饋




書目名稱Recent Advances on Hybrid Approaches for Designing Intelligent Systems讀者反饋學(xué)科排名

Interlocking

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Oscar Castillo,Patricia Melin,Janusz KacprzykRecent advances on hybrid intelligent systems using soft computing techniques.Presents various aspects of bio-inspired models, soft computing and hybrid intelligent systems for control, mobile robotic

CODA

Designing Type-2 Fuzzy Systems Using the Interval Type-2 Fuzzy C-Means Algorithmmembership matrices for the lower and upper bound of the interval obtained by the IT2FCM algorithm in each data clustering realized by this algorithm, with these elements obtained by IT2FCM algorithm we design the Mamdani, and Sugeno Fuzzy Inference systems for classification of data sets and time series prediction.

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Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzyy Integration. The time series that is being considered in this work is the Mackey-Glass benchmark time series. Simulation results show that the ensemble approach produces good prediction of the Mackey-Glass time series.

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ADORE

A Type 2 Fuzzy Neural Network Ensemble to Estimate Time Increased Probability of Seismic Hazard in Ngion of the Baja California Peninsula. Three algorithms are used with the ensemble: data analysis, M8 and CN. Seismic data coordinates are used in probabilistic fuzzy sets that are processed in the three fuzzy neural networks that integrate the ensemble to generate an output of a probabilistic set of predictions.