Processing laser beam spot images using the parallel-hierarchical network for classification and forecasting their energy center coordinates-Reference-Cited by-同舟云学术

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Processing laser beam spot images using the parallel-hierarchical network for classification and forecasting their energy center coordinates

Published:2016-09-28 Issue: Volume: Page:
ISSN:0277-786X
Container-title:Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2016
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Author:

Timchenko Leonid I.¹,Pijarski Paweł²,Zavadskiy Vladislav²,Nakonechna Svitlana S.¹,Kokriatskaya Nataliya I.¹

Affiliation:

1. State Univ. of Transport Economy and Technologies (Ukraine)

2. Lublin Univ. of Technology (Poland)

Publisher

SPIE

Reference28 articles.

1. Abraham, B., Ledolter, J., [Statistical methods for forecasting], John Wiley & Sons, Inc. Hoboken, New Jersey, 1-459 (1983, 2005).

2. A dynamic artificial neural network model for forecasting time series events

3. Forecasting with artificial neural networks:

4. Haykin, S., [Neural Networks], Prentice Hall PTR Upper Saddle River, NJ, USA, 1-842 (1999).

5. Artificial neural network models for forecasting and decision making

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1. Comparison of optical flow algorithms performance on flame image sequences;SPIE Proceedings;2017-08-07

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