160 search results - page 4 / 32 » A Very Fast Learning Method for Neural Networks Based on Sen... |
IDA
2010
Springer
13 years 3 months ago
2010
Springer
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
SERA
2007
Springer
13 years 11 months ago
2007
Springer
Capacity planning is a technique which can be used to predict the computing resource needs of an organization for the future after studying current usage patterns. This is of spec...
WSC
2007
13 years 7 months ago
2007
Models of real world systems are being increasingly generated from data that describes the behaviour of systems. Data mining techniques, such as Artificial Neural Networks (ANN),...
CIARP
2006
Springer
13 years 6 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
CBMS
2007
IEEE
13 years 5 months ago
2007
IEEE
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed u...