18 search results - page 3 / 4 » Fuzzy Association Rule Reduction Using Clustering In Som Neu... |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
EUSFLAT
2009
13 years 3 months ago
2009
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
TSMC
2002
13 years 5 months ago
2002
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
ESANN
2004
13 years 6 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
NN
1998
Springer
13 years 5 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...