Empirical Method for Determination of the Optimal Parameters of a Convolutional Neural Network in Working with Remote Sensing Data-Reference-Cited by-同舟云学术

Empirical Method for Determination of the Optimal Parameters of a Convolutional Neural Network in Working with Remote Sensing Data

Published:2022-11-09 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)
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Author:

Kuchma Mikhail¹,Voronin Vladimir²

Affiliation:

1. Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”,R&D Development and implementation Department,Khabarovsk,Russian Federation

2. Pacific National University,Department of Automation and System Engineering,Khabarovsk,Russian Federation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973814/9973434/09973950.pdf?arnumber=9973950

Reference12 articles.

1. PlanetaMeteorTexMaker;andreev;Certificate on the State Registration of the Computer Programs,2018

2. Sea Ice Cover Detection of the Far Eastern Seas by Data of the MSU-MR Radiometer of the Meteor-M No. 2 Satellite

3. Understanding convolutional neural networks with a mathematical model

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