The design of self-organizing polynomial neural networks

DOI10.1016/S0020-0255(02)00175-5zbMath1008.68098OpenAlexW2074588395MaRDI QIDQ1858421

Sung-Kwun Oh, Witold Pedrycz

Publication date: 13 February 2003

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(02)00175-5

zbMATH Keywords

time seriespolynomial neural networksgroup method of data handlingdesign procedurehigh-orderpolynomialmulti-variable systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (15)

Hybrid GMDH-type modeling for nonlinear systems: Synergism to intelligent identification ⋮ A multilayered neuro-fuzzy classifier with self-organizing properties ⋮ Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons ⋮ Design of Radial Basis Function Classifier Based on Polynomial Neural Networks ⋮ A data‐driven bond‐based peridynamic model derived from group method of data handling neural network with genetic algorithm ⋮ Design of fuzzy radial basis function-based polynomial neural networks ⋮ Genetically optimized hybrid fuzzy set based polynomial neural networks ⋮ Multi-criterion Pareto based particle swarm optimized polynomial neural network for classification: a review and state-of-the-art ⋮ A new approach to self-organizing fuzzy polynomial neural networks guided by genetic optimization ⋮ Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms ⋮ Design of enhanced MIA-GMDH learning networks ⋮ Numerical solution of a system of fuzzy polynomials by fuzzy neural network ⋮ A modified PNN algorithm with optimal PD modeling using the orthogonal least squares method ⋮ The design of self-organizing neural networks based on PNS and FPNs with the aid of genetic optimization and extended GMDH method ⋮ Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques

Cites Work

• An identification algorithm in fuzzy relational systems
• The evaluation of fuzzy models derived from experimental data
• Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems
• A new artificial neural network based fuzzy inference system with moving consequents in if-then rules and selected applications
• Fuzzy Model Identification and Self-Learning for Dynamic Systems
• Unnamed Item
• Unnamed Item

This page was built for publication: The design of self-organizing polynomial neural networks