Sciweavers

81 search results - page 1 / 17
» The baldwin effect in developing neural networks
Sort
View
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 8 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
IAJIT
2010
117views more  IAJIT 2010»
13 years 3 months ago
Development of Neural Networks for Noise Reduction
: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
Lubna Badri
IJCNN
2006
IEEE
13 years 10 months ago
Effective Training Methods for Function Localization Neural Networks
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
Takafumi Sasakawa, Jinglu Hu, Katsunori Isono, Kot...
IJCNN
2000
IEEE
13 years 9 months ago
Unsupervised Learning of Neural Network Ensembles for Image Classification
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...
Giorgio Giacinto, Fabio Roli, Giorgio Fumera
IJCNN
2006
IEEE
13 years 10 months ago
Some stability properties of dynamic neural networks with different time-scales
Abstract— Dynamic neural networks with different timescales include the aspects of fast and slow phenomenons. Some applications require that the equilibrium points of these netwo...
Alejandro Cruz Sandoval, Wen Yu, Xiaoou Li