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Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey. (arXiv:2201.02297v1 [cs.AI])
Jan. 10, 2022, 2:10 a.m. | Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Guimarães Gadelha
cs.LG updates on arXiv.org arxiv.org
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 systems. FCM have similarities to recurrent
neural networks and can be classified as a neuro-fuzzy method. In other words,
FCMs are a mixture of fuzzy logic, neural network, and expert system aspects,
which act as a powerful tool for simulating and studying the dynamic behavior
of complex systems. The most interesting features …
ai arxiv cognitive forecasting maps survey time time series time series forecasting
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