641 search results - page 22 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
RAS
2002
14 years 9 months ago
2002
: This paper presents a new path-tracking scheme for a car-like mobile robot based on neural predictive control. A multi-layer back-propagation neural network is employed to model ...
AES
2008
Springer
14 years 9 months ago
2008
Springer
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
ESANN
2003
14 years 11 months ago
2003
In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...