239 search results - page 24 / 48 » Evolving Multilayer Perceptrons |
IEAAIE
2004
Springer
14 years 28 days ago
2004
Springer
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
ROBOCUP
2004
Springer
14 years 27 days ago
2004
Springer
Abstract. Robot recognition is a very important point for further improvements in game-play in RoboCup middle size league. In this paper we present a neural recognition method we d...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
ISCAS
1999
IEEE
13 years 12 months ago
1999
IEEE
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...