Amanote Research

Amanote Research

    RegisterSign In

Ensemble Radical Basis Function Neural Networks for Regression Based on Statistical Learning Theory

doi 10.2991/icem-17.2018.71
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2018

Authors
Liangzhi GanDawei JiangMi He
Publisher

Atlantis Press


Related search

Machine Learning of Radial Basis Function Neural Network Based on Kalman Filter: Implementation

Tehnika
2014English

PID Controller Design Based on Radial Basis Function Neural Networks for the Steam Generator Level Control

Cybernetics and Information Technologies
Computer Science
2016English

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

Generalized Regression Neural Network and Radial Basis Function for Heart Disease Diagnosis

International Journal of Computer Applications
2010English

A New Method for Constructing Radial Basis Function Neural Networks

2007English

Dynamics of On-Line Learning in Radial Basis Function Networks

Physical Review E
1997English

A Statistical Description of Neural Ensemble Dynamics

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2011English

A Curiosity-Based Learning Method for Spiking Neural Networks

Frontiers in Computational Neuroscience
NeuroscienceCellularMolecular Neuroscience
2020English

Approximation of Nonlinear Systems With Radial Basis Function Neural Networks

IEEE Transactions on Neural Networks
2001English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy