695 search results - page 1 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
PPSN
1994
Springer
13 years 9 months ago
1994
Springer
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
IDEAL
2003
Springer
13 years 10 months ago
2003
Springer
This paper exhaustively discusses and compares the performance differences between radial basis probabilistic neural networks (RBPNN) and radial basis function neural networks (RBF...
ECIS
2000
13 years 6 months ago
2000
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...