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» Neural networks: Algorithms and applications
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CCE
2008
15 years 28 days ago
Differential recurrent neural network based predictive control
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
R. K. Al Seyab, Yi Cao
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 6 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
124
Voted
IJCNN
2006
IEEE
15 years 6 months ago
Training of Large-Scale Feed-Forward Neural Networks
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
Udo Seiffert
103
Voted
DMIN
2006
221views Data Mining» more  DMIN 2006»
15 years 2 months ago
Color Image Segmentation Using Pulse-Coupled Neural Network for Locusts Detection
- Pulse-coupled neural network (PCNN) is different from traditional artificial neural networks, which can be applied in many fields, such as image processing. A crucial step in dev...
Xuemei Xiong, Yiming Wang, Xiaochao Zhang
93
Voted
IJCNN
2000
IEEE
15 years 5 months ago
Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm
It is often reported in the technique literature that the success of the self-organizing feature map (SOM) formation is critically dependent on the initial weights and the selectio...
Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang