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» Particle Swarm Optimization of Fuzzy ARTMAP Parameters
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WCE
2007
14 years 10 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
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 3 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
TEC
2010
203views more  TEC 2010»
14 years 4 months ago
Niching Without Niching Parameters: Particle Swarm Optimization Using a Ring Topology
Niching is an important technique for multimodal optimization. Most existing niching methods require specification of certain niching parameters in order to perform well. These nic...
Xiaodong Li
76
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ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
15 years 3 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
CEC
2010
IEEE
14 years 4 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...