University of Hertfordshire

By the same authors

Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationArtificial Neural Networks and Machine Learning – ICANN 2016
Subtitle of host publication25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II
EditorsAlessandro E. P. Villa, Paolo Masulli, Antonio J. Pons Rivero
PublisherSpringer International Publishing AG
Pages372-379
Number of pages8
Volume9887
ISBN (Electronic)978-3-319-44781-0
ISBN (Print)978-3-319-44780-3
DOIs
StatePublished - 13 Aug 2016
Event25th International Conference on Artificial Neural Networks - Barcelona, Spain

Publication series

NameLectures Notes in Computer Sciences
PublisherSpringer International Publishing
Volume9887
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Artificial Neural Networks
Abbreviated titleICANN
CountrySpain
CityBarcelona
Period6/09/169/09/16
Internet address

Abstract

In this paper, we present a prediction model developed to
identify particles size of ice crystals in clouds. The proposed model combines a Feed Forward Multi-Layer Perceptron neural network withBayesian regularization backpropagation and other machine learning techniques for feature reduction with Principal Component Analysis androtation invariance with Fast Fourier Transform. The proposed solution is capable of predicting the particle sizes with normalized mean squared error around 0.007. However, the proposed network model is not able topredict the size of very small particles (between 3 and 10 µm size) with the same precision as for the larger particles. Therefore, in this work we also discuss some possible reasons for this problem and suggest future points that need to be analysed.

Notes

Daniel Priori, Giseli de Sousa, Mauro Roisenberg, Chris Stopford, Evelyn Hesse, Neil Davey and Yi Sun, 'Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns', in Alessandro E. P. Villa, Paolo Masulli, and Antonio J. Pons Rivero eds., Proceedings of Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks. Universitat Politecnica de Catalunya, Barcelona, Spain, 6- 9 September 2016. ISBN 978-3-319-44780-3, e-ISBN 978-3-319-44781-0

ID: 10682242