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IBPRIA
2007
Springer
13 years 11 months ago
A Neural Network Model for Image Change Detection Based on Fuzzy Cognitive Maps
This paper outlines a neural network model based on the Fuzzy Cognitive Maps (FCM) framework for solving the automatic image change detection problem. Each pixel in the reference i...
Gonzalo Pajares, Alfonso Sánchez-Beato, Jes...
DSS
2006
118views more  DSS 2006»
13 years 4 months ago
Part family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks' recognition, the present study is dedicated in developing a n...
R. J. Kuo, Y. T. Su, C. Y. Chiu, Kai-Ying Chen, Fa...
IJCNN
2007
IEEE
13 years 11 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICIC
2007
Springer
13 years 11 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
TSMC
2002
134views more  TSMC 2002»
13 years 4 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho