Cascading SOFM and RBF Networks for Categorization and Indexing of Fly Ashes

Cascading SOFM and RBF Networks for Categorization and Indexing of Fly Ashes

The objective of this work is to categorize the available fly ashes in different parts of the world into distinct groups based on its compositional attributes. Kohonen's self-organizing feature map and radial basis function networks are applied in a cascading fashion for the classification of f...

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Bibliographic Details
Main Authors: Jayaram M. A., Nataraja M. C., Ravikumar C. N.
Format: Article
Language:English
Published: De Gruyter 2011-04-01
Series:Journal of Intelligent Systems
Subjects:
cascading neural nets
k-means algorithm
indexing equation
lms algorithm
sofm
rbfn
fly ash
hvfac
compositional attributes
Online Access:https://doi.org/10.1515/jisys.2011.005

Internet

https://doi.org/10.1515/jisys.2011.005

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