Meta fuzzy functions based feed-forward neural networks with a single hidden layer for forecasting

DOI10.1080/00949655.2021.1909024OpenAlexW3152275196MaRDI QIDQ3389682

Nihat Tak

Publication date: 23 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1909024

zbMATH Keywords

fuzzy logicforecastingfeed-forward neural networksmeta fuzzy functions

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• forecast
• fpp2

Cites Work

• Fast decorrelated neural network ensembles with random weights
• Robust adaptive learning of feedforward neural networks via LMI optimizations
• Distributed learning for random vector functional-link networks
• A probabilistic learning algorithm for robust modeling using neural networks with random weights
• Predicting a chaotic time series using a fuzzy neural network
• Fuzzy nonlinear regression analysis using a random weight network
• Upper and lower values for the level of fuzziness in FCM
• Feedforward Neural Nets as Models for Time Series Forecasting
• Routes to Chaos in Neural Networks with Random Weights
• Meta fuzzy index functions

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