has been cited by the following article(s):
|
[1]
|
MASTER'S DEGREE THESIS
|
|
2020 |
|
|
|
|
[2]
|
Development of a classification system for assessing apathy's degree in patients with behavioral variant of frontotemporal dementia
|
|
2020 |
|
|
|
|
[3]
|
AN APPROPRIATE FEATURE CLASSIFICATION MODEL USING KOHONEN NETWORK
|
|
2019 |
|
|
|
|
[4]
|
Biological Inspiration—Theoretical Framework Mitosis Artificial Neural Networks Unsupervised Algorithm
|
|
International Journal of Communications, Network and System Sciences,
2015 |
|
|
|
|
[5]
|
Biological Inspiration-Theoretical Framework Mitosis Artificial Neural Networks Unsupervised Algorithm
|
|
International Journal of Communications, Network and System Sciences,
2015 |
|
|
|
|
[6]
|
Optimization and integration method for railway freight stations based on a hybrid neural network model
|
|
2014 |
|
|
|
|
[7]
|
Assessment of Genetic Divergence with Self-Organizing Maps (SOM) in Silkworm, Bombyx mori L.(Lepidoptera: Bombycidae) Genotypes
|
|
Biotechnology,
2013 |
|
|
|
|
[8]
|
Hierarchical clustering for large data sets
|
|
Advances in Intelligent Signal Processing and Data Mining. Springer Berlin Heidelberg,
2013 |
|
|
|
|
[9]
|
Assessment of genetic divergence with Self-Organizing Maps (SOM) in silkworm, Bombyx mori L.(Lepidoptera: Bombycidae) genotypes.
|
|
2013 |
|
|
|
|
[10]
|
Assessment of genetic divergence with Self-Organizing Maps (SOM) in silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) genotypes.
|
|
2013 |
|
|
|
|
[11]
|
Estimating the number of data clusters via the contrast statistic
|
|
Journal of Biomedical Science and Engineering,
2012 |
|
|
|
|
[1]
|
Comparison of the Self-Organizing Map and the Adaptive Neuro-Fuzzy Inference System in Predicting the Paddy Crop Water Stress Index
Journal of Irrigation and Drainage Engineering,
2025
DOI:10.1061/JIDEDH.IRENG-10171
|
|
|
|
|
[2]
|
Assessment of Genetic Divergence with Self-Organizing Maps (SOM) in Silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) Genotypes
Biotechnology(Faisalabad),
2013
DOI:10.3923/biotech.2013.189.201
|
|
|
|
|
[3]
|
Advances in Intelligent Signal Processing and Data Mining
Studies in Computational Intelligence,
2013
DOI:10.1007/978-3-642-28696-4_8
|
|
|
|
|
[4]
|
Advances in Intelligent Signal Processing and Data Mining
Studies in Computational Intelligence,
2013
DOI:10.1007/978-3-642-28696-4_8
|
|
|
|
|
[5]
|
Estimating the number of data clusters via the contrast statistic
Journal of Biomedical Science and Engineering,
2012
DOI:10.4236/jbise.2012.52012
|
|
|
|