4.6 Article

A novel self-adaptive extreme learning machine based on affinity propagation for radial basis function neural network

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

A comparative analysis of support vector machines and extreme learning machines

Xueyi Liu et al.

NEURAL NETWORKS (2012)

Article Computer Science, Artificial Intelligence

Human gait recognition via deterministic learning

Wei Zeng et al.

NEURAL NETWORKS (2012)

Article Computer Science, Artificial Intelligence

The multidimensional function approximation based on constructive wavelet RBF neural network

Hou Muzhou et al.

APPLIED SOFT COMPUTING (2011)

Article Engineering, Electrical & Electronic

A RBF neural network model with GARCH errors: Application to electricity price forecasting

Leandro dos Santos Coelhoa et al.

ELECTRIC POWER SYSTEMS RESEARCH (2011)

Article Automation & Control Systems

Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet

H. -S. Park et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2011)

Article Computer Science, Artificial Intelligence

Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

Wei Shen et al.

KNOWLEDGE-BASED SYSTEMS (2011)

Article Computer Science, Artificial Intelligence

An efficient self-organizing RBF neural network for water quality prediction

Hong-Gui Han et al.

NEURAL NETWORKS (2011)

Article Automation & Control Systems

Stable modeling based control methods using a new RBF network

Selami Beyhan et al.

ISA TRANSACTIONS (2010)

Article Chemistry, Physical

Predictive control of SOFC based on a GA-RBF neural network model

Xiao-Juan Wu et al.

JOURNAL OF POWER SOURCES (2008)

Article Multidisciplinary Sciences

Clustering by passing messages between data points

Brendan J. Frey et al.

SCIENCE (2007)

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

Article Computer Science, Interdisciplinary Applications

RBF neural networks for the prediction of building interference effects

AH Zhang et al.

COMPUTERS & STRUCTURES (2004)

Article Computer Science, Artificial Intelligence

Learning capability and storage capacity of two-hidden-layer feedforward networks

GB Huang

IEEE TRANSACTIONS ON NEURAL NETWORKS (2003)