Sciweavers

588 search results - page 8 / 118
» Wavelet Neural Networks with a Hybrid Learning Approach
Sort
View
95
Voted
COLT
1989
Springer
15 years 7 months ago
A Statistical Approach to Learning and Generalization in Layered Neural Networks
Esther Levin, Naftali Tishby, Sara A. Solla
123
Voted
ESANN
2003
15 years 5 months ago
Accelerating the convergence speed of neural networks learning methods using least squares
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...
Oscar Fontenla-Romero, Deniz Erdogmus, José...
126
Voted
JCIT
2008
172views more  JCIT 2008»
15 years 3 months ago
Rough Wavelet Hybrid Image Classification Scheme
This paper introduces a new computer-aided classification system for detection of prostate cancer in Transrectal Ultrasound images (TRUS). To increase the efficiency of the comput...
Hala S. Own, Aboul Ella Hassanien
137
Voted
TNN
1998
146views more  TNN 1998»
15 years 3 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
151
Voted
APIN
1998
139views more  APIN 1998»
15 years 3 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara