A Computational Tool Design for Evolutionary Artificial Neural Networks in Neutron Spectrometry and Dosimetry

Evolutionary artificial neural networks have been studied widely in recent years. They provide not only an automatic method to design ANN, but also an approach to study evolution and learning in the same framework. In prior works was analyzed the intersection of artificial neural networks and evolut...

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Bibliographic Details
Main Authors: Ortiz-Rodriguez, J.M., Martinez-Blanco, M.R., Eduardo, G., Vega-Carrillo, H.R.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Artificial neural networks
Computer graphics
Computer networks
Design methodology
Dosimetry
Evolutionary computation
Neutrons
Programming environments
Spectroscopy
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Summary:Evolutionary artificial neural networks have been studied widely in recent years. They provide not only an automatic method to design ANN, but also an approach to study evolution and learning in the same framework. In prior works was analyzed the intersection of artificial neural networks and evolutionary algorithms applied in the neutron spectrometry and dosimetry research area, however, several drawbacks were encountered, due mainly to the novel of this approach. Because this is an emergent technology, a lack of tools exists to carry out the analysis of the obtained results. In this work, it is presented the design of a computer tool which allows to analyze the neutron spectrometry and dosimetry results obtained by means of the hybrid technology based on evolutionary artificial neural networks. This tool was designed under the LabVIEW programming environment in a graphic user interface, which make easy, intuitive and friendly their use. At the same time,the operation speed of the program is high, carrying out the analysis in seconds.
DOI:10.1109/CERMA.2009.67