5 citations · 8 across the 3 of their papers we have counts for
3 papers
Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting
Omid Orang, Patricia O. Lucas, Gabriel I. F. Paiva +4
In recent years, the application of Large Language Models (LLMs) to time series forecasting (TSF) has garnered significant attention among researchers. This study presents a new fr…
Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
Among various soft computing approaches for time series forecasting, Fuzzy Cognitive Maps (FCM) have shown remarkable results as a tool to model and analyze the dynamics of complex…
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting
Omid Orang, Petrônio Cândido de Lima Silva, Frederico Gadelha Guimarães
Fuzzy Cognitive Maps (FCMs) have emerged as an interpretable signed weighted digraph method consisting of nodes (concepts) and weights which represent the dependencies among the co…