2382 search results - page 12 / 477 » An Energy Backpropagation Algorithm |
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
MICAI
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
ICICIC
2006
IEEE
15 years 3 months ago
2006
IEEE
Genetic algorithm and neural network (GNN) are integrated to build a financial early warning system. An example of Taiwanese banking industry is discussed to test the hit ratio of...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
The main focus of this article is to achieve prolonged network lifetime with overall energy efficiency in wireless sensor networks through controlled utilization of limited energy...
IJCNN
2000
IEEE
15 years 1 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...