Although the extraction of symbolic knowledge from trained feedforward neural net-ลฝ . works has been widely studied, research in recurrent neural networks RNN has been more neglected, even though it performs better in areas such as control, speech recognition, time series prediction, etc. Nowadays,
Smoothly distributed fuzzy c-means: a new self-organizing map
โ Scribed by R.D. Pascual-Marqui; A.D. Pascual-Montano; K. Kochi; J.M. Carazo
- Book ID
- 104161431
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 348 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0031-3203
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โฆ Synopsis
This paper presents a new self-organizing map algorithm. Unlike the well-known method of Kohonen, the new algorithm corresponds to the optimization of an unambiguously de"ned cost function. It consists of a modi"ed version of the widely used fuzzy c-means functional, where the code vectors are distributed on a regular low-dimensional grid, and a penalization term is added in order to guarantee a smooth distribution for the values of the code vectors on the grid. The mapping properties of the new method, similar to those of Kohonen's algorithm, are illustrated with several data sets. Computer programs (source code and executables) and data are available upon request to the authors.
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