883 search results - page 91 / 177 » Unsupervised learning in neural computation |
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
ICIC
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. This paper describes a novel fuzzy rule-based modeling approach for some slow industrial processses. Structure identification is realized by clustering and support vecto...
ICANN
2001
Springer
14 years 1 months ago
2001
Springer
Kernel-based systems are currently very popular approaches to supervised learning. Unfortunately, the computational load for training kernel-based systems increases drastically wit...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
The main purpose of this paper is to compare the support vector machine (SVM) developed by Vapnik with other techniques such as Backpropagation and Radial Basis Function (RBF) Net...
FOCI
2007
IEEE
14 years 3 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...