210 search results - page 6 / 42 » Continuous Neural Decoding Method Based on General Regressio... |
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
— This paper presents a single-objective and a multiobjective stochastic optimization algorithms for global training of neural networks based on simulated annealing. The algorith...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
ICML
1991
IEEE
13 years 11 months ago
1991
IEEE
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
ICANN
2003
Springer
14 years 20 days ago
2003
Springer
Combining machine learning models is a means of improving overall accuracy.Various algorithms have been proposed to create aggregate models from other models, and two popular examp...