298 search results - page 58 / 60 » Optimizing number of hidden neurons in neural networks |
EUROCAST
2007
Springer
13 years 11 months ago
2007
Springer
RND (Radio Network Design) is an important problem in mobile telecommunications (for example in mobile/cellular telephony), being also relevant in the rising area of sensor network...
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
—The Support Vector Machine is a widely employed machine learning model due to its repeatedly demonstrated superior generalization performance. The Sequential Minimal Optimizatio...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...