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» Learning fault-tolerance in Radial Basis Function Networks
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NPL
2000
138views more  NPL 2000»
13 years 7 months ago
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic a...
Primoz Potocnik, Igor Grabec, Marko Setinc, Janez ...
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
12 years 11 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
JNW
2006
120views more  JNW 2006»
13 years 7 months ago
An EMST Based Look-up Protocol for Peer to Peer Networks
-- Peer-to-peer systems and applications are distributed systems without any centralized control. P2P systems form the basis of several applications, such as file sharing systems a...
Tarun Bansal, Pankaj Ghanshani
ICARIS
2009
Springer
14 years 1 months ago
On AIRS and Clonal Selection for Machine Learning
AIRS is an immune-inspired supervised learning algorithm that has been shown to perform competitively on some common datasets. Previous analysis of the algorithm consists almost ex...
Chris McEwan, Emma Hart
KES
2007
Springer
14 years 1 months ago
Online Training of Hierarchical RBF
Efficient multi-scale manifold reconstruction from point clouds can be obtained through the Hierarchical Radial Basis Functions (HRBF) network. An online training procedure for HRB...
Francesco Bellocchio, Stefano Ferrari, Vincenzo Pi...