Parallel Multi-Class Contour Preserving Classification

Parallel Multi-Class Contour Preserving Classification

Serial multi-class contour preserving classification can improve the representation of the contour of the data to improve the levels of classification accuracy for feed-forward neural network (FFNN). The algorithm synthesizes fundamental multi-class outpost vector (FMCOV) and additional multi-class...

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Bibliographic Details
Main Author: Fuangkhon Piyabute
Format: Article
Language:English
Published: De Gruyter 2017-01-01
Series:Journal of Intelligent Systems
Subjects:
data reduction
intelligent systems
neural network
parallel computing
shape representation
68t01
Online Access:https://doi.org/10.1515/jisys-2015-0038

Internet

https://doi.org/10.1515/jisys-2015-0038

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