Automatic classification of A. paeoniifolius species from DNA fingerprints of Amorphophalus Genus

This work aims at designing a classification system for automatic identification of A paeoniifolius species from the DNA fingerprints of Amorphophalus Genus. Four species, namely A. krausei, AmacrorhizusCraib, A. muelleri and A. paeoniifolius are considered for the experiment. Reduction of the dimen...

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Bibliographic Details
Published in2012 International Conference on Communications, Devices and Intelligent Systems (CODIS) pp. 580 - 583
Main Authors Banerjee, A., Basu, S., Mekkerdchoo, O., Srzednicki, G., Nasipuri, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
ANN
Classification
DNA
DNA fingerprint
Fingerprint recognition
Indexes
PCA
Testing
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Summary:This work aims at designing a classification system for automatic identification of A paeoniifolius species from the DNA fingerprints of Amorphophalus Genus. Four species, namely A. krausei, AmacrorhizusCraib, A. muelleri and A. paeoniifolius are considered for the experiment. Reduction of the dimensionality of the initial data matrix is done using Principal Component Analysis (PCA). During training stage, Artificial Neural Network based classifiers with back propagation learning algorithm, are designed with 5-fold cross validation experiment. The classification performance of the trained networks, that a DNA fingerprint of an unknown species is A. paeoniifoilius or not, are finally evaluated over an independent validation set.
ISBN:9781467346993
1467346993
DOI:10.1109/CODIS.2012.6422269