New learning methodology for classifiers based in Fuzzy Cognitive Maps

• Lic. Leonardo Javier Concepción Pérez

• English

• Learning
• Shrinking State Spaces
• fuzzy cognitive maps
• pattern classification

Fuzzy Cognitive Maps (FCMs) are a very peculiar type of recurrent neural networks that allow modeling complex systems in terms of concepts and causal relations. While FCMs have proven successful in addressing simulation scenarios, their performance in solving pattern classification problems is quite variable. Nevertheless, the interpretability and transparency attached to these cognitive networks have motivated researchers to improve their performance. On the other hand, some definitions and the...