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ICASSP
2011
IEEE
12 years 9 months ago
Adaptive modelling with tunable RBF network using multi-innovation RLS algorithm assisted by swarm intelligence
— In this paper, we propose a new on-line learning algorithm for the non-linear system identification: the swarm intelligence aided multi-innovation recursive least squares (SIM...
Hao Chen, Yu Gong, Xia Hong
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
13 years 11 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
IJON
2007
184views more  IJON 2007»
13 years 5 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
KES
2006
Springer
13 years 5 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
EPS
1998
Springer
13 years 10 months ago
Dual Network Representation Applied to the Evolution of Neural Controllers
This paperpresentsa new approachto the evolutionof neuralnetworks. A linear chromosome combined with a grid-based representation of the network and a new crossover operator allow t...
João Carlos Figueira Pujol, Riccardo Poli