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The recognition of images of pollen grains obtained using a scanning electron microscope in the context of using neural networks

Kamalova Yu. B.  (post-graduate student, Kalashnikov Izhevsk State Technical University)

Application of neural networks in tasks of images of pollen grains obtained using a scanning electron microscope, is a regular task that is traditionally solved with the use, and accordingly, it causes a number of problems associated with the choice of neural network architecture, preparation of input and output data, determination of optimal learning algorithms. The solution of these issues is hampered by the lack of standards in this area and a significant amount of anecdotal knowledge about the use of neural networks in various branches of science and industry. Therefore, before the formulation of the implementation of the recognition of images of pollen grains obtained using a scanning electron microscope, it is advisable to see the classic application of neural networks and their methods of training that will allow in the future to avoid problems related to their learning and functioning.

Keywords:neural network, function, structure, material object, recognition, training an artificial intelligence.
 

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Citation link:
Kamalova Y. B. The recognition of images of pollen grains obtained using a scanning electron microscope in the context of using neural networks // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2016. -№11. -С. 38-43
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