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A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition
A grey wolf optimizer for modular neural network (MNN) with a granular approach is proposed. The proposed method performs optimal granulation of data and design of modular neural networks architectures to perform human recognition, and to prove its effectiveness benchmark databases of ear, iris, and...
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| Publicat a: | Comput Intell Neurosci |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Hindawi
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5574275/ https://ncbi.nlm.nih.gov/pubmed/28894461 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/4180510 |
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