102 search results - page 12 / 21 » Selecting Neural Network Forecasting Models Using the Zoomed... |
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper investigates the construction of a wide class of singlehidden layer neural networks (SLNNs) with or without tunable parameters in the hidden nodes. It is a cha...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Hybrid intelligent systems (HIS) are very successful in tackling problems comprising of more than one distinct computational subtask. For instance, decision-making problems are...
HAIS
2009
Springer
14 years 9 days ago
2009
Springer
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...