Approximation of Nonlinear Systems With Radial Basis Function Neural Networks

IEEE Transactions on Neural Networks
doi 10.1109/72.896792
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Related search

Robust Position Control of Electro-Hydrostatic Actuator Systems With Radial Basis Function Neural Networks

Journal of Advanced Mechanical Design, Systems and Manufacturing
IndustrialMechanical EngineeringManufacturing Engineering
2013English

A New Method for Constructing Radial Basis Function Neural Networks

2007English

Logic Programs, Iterated Function Systems, and Recurrent Radial Basis Function Networks

Journal of Applied Logic
Applied MathematicsLogic
2004English

An Immunological Approach to Initialize Centers of Radial Basis Function Neural Networks

2016English

Rule-Extraction From Radial Basis Function Networks

1999English

Computing Non-Newtonian Fluid Flow With Radial Basis Function Networks

International Journal for Numerical Methods in Fluids
Computational MechanicsMechanics of MaterialsApplied MathematicsComputer Science ApplicationsMechanical Engineering
2005English

Application of Radial Basis Function Network With a Gaussian Function of Artificial Neural Networks in Osmo-Dehydration of Plant Materials

Journal of Artificial Intelligence
Artificial IntelligenceSoftware
2011English

On Structure Selection of Radial Basis Function Networks

IFAC Proceedings Volumes
2005English

A New Network Intrusion Detection Algorithm Based on Radial Basis Function Neural Networks Classifier

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy