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ORCIDHIMA 2011: Paris, France
- 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, HIMA 2011, Paris, France, April 14, 2011. IEEE 2011, ISBN 978-1-4244-9909-0
Hybrid Fuzzy Models and Applications
- Marcin Korytkowski
, Leszek Rutkowski, Rafal Scherer:
Rule base normalization in Takagi-Sugeno ensemble. 1-5 - Ieroham S. Baruch, Sergio M. Hernandez:
Decentralized indirect adaptive I-term fuzzy-neural control of a distributed parameter bioprocess plant. 6-13 - Giulia De Masi, Federico Gaggiotti, Roberto Bruschi, Marco Venturi:
Ship motion prediction by radial basis neural networks. 28-32 - Louis Gacôgne:
Fixed, random or fuzzy adaptive parameters in an evolutionary algorithm. 33-38
Hybrid Models in Classification and Pattern Recognition
- Elena N. Benderskaya, Sofya V. Zhukova:
Oscillatory chaotic neural network as a hybrid system for pattern recognition. 39-45 - Pedro Antonio Gutiérrez, Manuel Baena-García, Rafael Morales Bueno, César Hervás-Martínez:
Permanent disability classification using hybrid neuro-logistic regression models. 46-53
Hybrid Neural, Genetic Models and Applications
- Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez:
Distributed learning on nonuniform class-probability distributions based on genetic algorithms and artificial neural networks. 54-60 - Vahid Khorani, Nafiseh Forouzideh, Ali Motie Nasrabadi:
Artificial neural network weights optimization using ICA, GA, ICA-GA and R-ICA-GA: Comparing performances. 61-67 - David Lahoz, Beatriz Lacruz, Pedro M. Mateo:
A bi-objective micro genetic Extreme Learning Machine. 68-75 - Tadashi Kondo:
Revised GMDH-type neural network using artificial intelligence and its application to medical image diagnosis. 76-83 - David Irvine, Mario Gongora:
Intelligent agents based on a hybrid adaptable structure and a biologically inspired memory. 84-89
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