869 search results - page 44 / 174 » An Effective Learning Method for Max-Min Neural Networks |
ESANN
2004
13 years 10 months ago
2004
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
PAKDD
1998
ACM
14 years 26 days ago
1998
ACM
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
HAIS
2008
Springer
13 years 9 months ago
2008
Springer
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
BIOCOMP
2006
13 years 10 months ago
2006
- The rapid growth in the amount of molecular genetic data being collected will, in many cases, require the development of new analytic methods for the analysis of that data. In th...
ICONIP
2008
13 years 10 months ago
2008
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...