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Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting. (arXiv:2201.02158v1 [cs.AI])
cs.LG updates on arXiv.org arxiv.org
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 concepts. Although FCMs have attained considerable
achievements in various time series prediction applications, designing an FCM
model with time-efficient training method is still an open challenge. Thus,
this paper introduces a novel univariate time series forecasting technique,
which is composed of a group of randomized high order FCM models labeled
R-HFCM. The novelty of the …
ai arxiv case study cognitive computing energy forecasting maps solar study