Title :
Your Fuzzy Relational Neural Network Parameters Optimization with a Genetic Algorithm
Author :
Barajas, Sandra E. ; Reyes, Carlos A.
Author_Institution :
Inst. Nacional de Astrofisica Optica y Electronica (INAOE), Puebla
Abstract :
The proposed genetic algorithm computes a selection of the number of linguistic properties to be used by a fuzzy relational neural network (Reyes, 1994), the type of membership function used to calculate the linguistic features, the method to calculate the output of the classifier and the learning rate. The model has been tested with different data sets to classify infant crying. Some results of the experiments are shown
Keywords :
computational linguistics; fuzzy neural nets; genetic algorithms; learning (artificial intelligence); fuzzy relational neural network; genetic algorithm; linguistic properties; membership function; parameter optimization; Artificial neural networks; Feature extraction; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Genetic algorithms; Neural networks; Optical computing; Testing;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452477
