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ICPR
2008
IEEE
14 years 7 months ago
Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
E. Alper Yildirim, Ince Turker, Moncef Gabbouj, Se...
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 8 days ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 10 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
WCE
2007
13 years 7 months ago
Modified Memory Convergence with Fuzzy PSO
—Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentati...
Subhash Chandra Pandey, P. K. Mishra
ICASSP
2011
IEEE
12 years 10 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