869 search results - page 34 / 174 » An Effective Learning Method for Max-Min Neural Networks |
NN
2007
Springer
13 years 8 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
ISNN
2007
Springer
14 years 2 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...
JIKM
2006
13 years 8 months ago
2006
In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based service...
ICML
1995
IEEE
14 years 9 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
IJIT
2004
13 years 10 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...