ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
In the paper, a new evolutionary approach to induction of oblique decision trees is described. In each non-terminal node, the specialized evolutionary algorithm is applied to searc...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
Barycentric plotting, achieved by placing gaussian kernels in distant corners of the feature space and projecting multidimensional output of neural network on a plane, provides inf...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visual...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
A task of a stock index prediction is presented in this paper. Several issues are considered. The data is gathered at the concerned stock market (NIKKEI) and two other markets (NAS...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
Model checking of temporal logic has already been proposed for automatic planning. In this paper, we introduce a simple adaptation of the ATL model checking algorithm that returns ...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
ICAISC
2004
Springer
14 years 5 months ago
2004
Springer
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...