1184 search results - page 8 / 237 » The importance of learning in fuzzy systems |
ENGL
2007
13 years 7 months ago
2007
—“A General Reflex Fuzzy Min-Max Neural Network” (GRFMN) is presented. GRFMN is capable to extract the underlying structure of the data by means of supervised, unsupervised a...
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
The task of segmenting cell nuclei in microscope images is a classical image analysis problem. The accurate nuclei segmentation may contribute to development of successful system ...
ICNC
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we propose a new machine learning approach based on AFS (Axiomatic Fuzzy Sets) fuzzy logic, in attempt to provide a better model with interpretability. First, we wil...
GECCO
2011
Springer
12 years 11 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...