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Application of Neural Networks in Chain Curve Modelling.
- Source :
- Artificial Intelligence & Soft Computing - ICAISC 2006; 2006, p104-112, 9p
- Publication Year :
- 2006
-
Abstract
- A modelling process of an unknown multi-dimensional system is mostly performed with methods which describe the system by a multi-dimensional surface (e.g. neural networks (NNs)). Some systems, however, does not have a surface nature. On the contrary - their behavior resembles multi-dimensional chains. Obviously, as it was proven in numerous applications, always better results can be obtained when the modelling method corresponds to the system nature. Therefore, when a data distribution of an unknown system has a chain characteristic, the system should be also modelled with a chain, not a surface, method. The aim of this article is to present the alternative approach to the modelling process, in which the multi-dimensional model of an unknown system is built on the basis of a set of two-dimensional NNs instead of one multi-dimensional NN. The proposed approach results in a chain multi-dimensional model of an analyzed system. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540357483
- Database :
- Complementary Index
- Journal :
- Artificial Intelligence & Soft Computing - ICAISC 2006
- Publication Type :
- Book
- Accession number :
- 32688867
- Full Text :
- https://doi.org/10.1007/11785231_12