103 search results - page 13 / 21 » Neural network construction and training using grammatical e... |
CORR
2010
Springer
13 years 9 months ago
2010
Springer
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
— the paper discusses an approach of using traditional time series analysis, as domain knowledge, to help the data-preparation of support vector machine for classifying documents...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
ESWA
2008
13 years 9 months ago
2008
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
ESANN
2007
13 years 10 months ago
2007
Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...