Abstract: The forecast of industrial process time series represents a critical factor in order to assure a proper operation of the whole manufacturing chain ...
Time series forecasting by means of SOM aided fuzzy inference systems ; Autor/s: Zurita, D.; Cariño , J.A.; Sala, E.; Delgado, M.; Ortega, J.A. ; Tipus ...
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This paper summarizes and reviews past twenty five year's contribution in the area of Fuzzy time series forecasting.
Missing: SOM aided
The purpose of this paper is to present the results of a systematic literature review regarding the development of fuzzy-based models for time series ...
Missing: SOM aided
Oct 22, 2024 · The purpose of this paper is to present the results of a systematic literature review regarding the development of fuzzy-based models for ...
In this study, an intuitionistic time series fuzzy inference system (I-TSFIS) has been proposed. In the I-TSFIS, in just the same way as in the intuitionistic ...
Missing: SOM aided
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA).
Aug 25, 2023 · The aim is to develop a model for forecasting electric power demand using fuzzy logic. This study compares the proposed solution with previously developed ...
Aug 19, 2019 · The proposed inference system uses fuzzy c-means method for clustering and pi-sigma neural network for fuzzy modelling. Moreover, the proposed ...
Missing: SOM aided
This paper presents a new STLF scheme based on Adaptative Networks Fuzzy Inference Systems (ANFIS), which has an exponential output membership functions (e- ...