Genetically optimized hybrid fuzzy set based polynomial neural networks

DOI10.1016/j.jfranklin.2010.11.005zbMath1208.92002OpenAlexW2041461917MaRDI QIDQ630924

Witold Pedrycz, Seok-Beom Roh, Sung-Kwun Oh

Publication date: 22 March 2011

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2010.11.005

Mathematics Subject Classification ID

Related Items (3)

DSP-based synchronous control of dual linear motors via Sugeno type fuzzy neural network compensator ⋮ WSVR-based fuzzy neural network with annealing robust algorithm for system identification ⋮ Approximation based on orthogonal and almost orthogonal functions

Uses Software

• Genocop
• ANFIS

Cites Work

• Unnamed Item
• Discrete-time recurrent high order neural networks for nonlinear identification
• Auto-structuring fuzzy neural system for intelligent control
• Predicting a chaotic time series using a fuzzy neural network
• The design of self-organizing polynomial neural networks
• Automatic structure and parameter training methods for modeling of mechanical systems by recurrent neural networks.
• A novel intelligent method for task scheduling in multiprocessor systems using genetic algorithm
• Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms
• HYBRID FUZZY POLYNOMIAL NEURAL NETWORKS

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