An enhanced memory TSK-type recurrent fuzzy network for real-time classification
Datum
2015Schlagwort
Zusammenfassung
An enhanced memory TSK-type recurrent fuzzy network (EM-TRFN) is proposed in this paper, suitable for modeling complex dynamic systems. Feedback connections, formulated using finite impulse response (FIR) synaptic filters, are employed in the network architecture, serving as internal memories of multiple past firing values, used to determine the current rule firings. Thus, high-order temporal capabilities are embedded in the network, rendering it capable of modeling highly complex nonlinear temporal processes. The structure of the EM-TRFN is evolved in an on-line fashion, with concurrent structure and parameter learning. The proposed network is combined with the predictive modular fuzzy system (PREMOFS), leading to an efficient system for on-line time-series classification. Simulations on a gait identification problem indicate the efficiency of the proposed system. © 2007 EUCA.
Collections
Verwandte Dokumente
Anzeige der Dokumente mit ähnlichem Titel, Autor, Urheber und Thema.
-
Development and Evaluation of a Fuzzy Inference System and a Neuro-Fuzzy Inference System for Grading Apple Quality
Papageorgiou E.I., Aggelopoulou K., Gemtos T.A., Nanos G.D. (2018)In this research work, a fuzzy inference system (FIS) and an adaptive neuro-fuzzy inference system (ANFIS) were developed to classify apple total quality based on some fruit quality properties, i.e., fruit mass, flesh ... -
A new co-learning method in spatial complex fuzzy inference systems for change detection from satellite images
Giang L.T., Son L.H., Giang N.L., Tuan T.M., Luong N.V., Sinh M.D., Selvachandran G., Gerogiannis V.C. (2022)The detection of spatial and temporal changes (or change detection) in remote sensing images is essential in any decision support system about natural phenomena such as extreme weather conditions, climate change, and floods. ... -
A Novel Fuzzy Inference Approach: Neuro-fuzzy Cognitive Map
Amirkhani A., Nasiriyan-Rad H., Papageorgiou E.I. (2020)In this study, a new approach based on fuzzy cognitive map (FCM) and neuro-fuzzy inference system (NFIS), called the neuro-fuzzy cognitive map (NFCM), is proposed. Here, the NFCM is used for diagnosis of autoimmune hepatitis ...