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ISNN
2010
Springer
13 years 5 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
GPEM
2006
127views more  GPEM 2006»
13 years 6 months ago
A hierarchical particle swarm optimizer for noisy and dynamic environments
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
Stefan Janson, Martin Middendorf
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
14 years 7 days ago
An effective use of crowding distance in multiobjective particle swarm optimization
In this paper, we present an approach that extends the Particle Swarm Optimization (PSO) algorithm to handle multiobjective optimization problems by incorporating the mechanism of...
Carlo R. Raquel, Prospero C. Naval Jr.
WCE
2007
13 years 7 months ago
Image Enhancement Using Particle Swarm Optimization
Abstract—Applications of the Particle Swarm Optimization (PSO) to solve image processing problem with a reference to a new automatic enhancement technique based on real-coded par...
Malik Braik, Alaa F. Sheta, Aladdin Ayesh
AWCC
2004
Springer
14 years 4 days ago
Rule Discovery with Particle Swarm Optimization
Abstract. This paper proposes Particle Swarm Optimization (PSO) algorithm to discover classification rules. The potential IF-THEN rules are encoded into real-valued particles that...
Yu Liu, Qin Zheng, Zhewen Shi, Junying Chen