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» A new approach to artificial neural networks
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CEC
2007
IEEE
16 years 13 days ago
NEMO: neural enhancement for multiobjective optimization
— In this paper, a neural network approach is presented to expand the Pareto-optimal front for multiobjective optimization problems. The network is trained using results obtained...
Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb
ICTAI
2007
IEEE
16 years 11 days ago
CompoNet: Programmatically Embedding Neural Networks into AI Applications as Software Components
The provision of embedding neural networks into software applications can enable variety of Artificial Intelligence systems for individual users as well as organizations. Previous...
Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young...
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 11 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
IEAAIE
2004
Springer
15 years 11 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
ETFA
2008
IEEE
16 years 16 days ago
Gesture recognition using evolution strategy neural network
A new approach to interact with an industrial robot using hand gestures is presented. System proposed here can learn a first time user’s hand gestures rapidly. This improves pro...
Johan Hägg, Baran Çürükl&uum...