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Spiking neural networks for identification and control of dynamic plants. (Abiyev, Rahib H.,)
Bibliographical information (record 263965)
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Spiking neural networks for identification and control of dynamic plants.
Author:
 Abiyev, Rahib H., Search Author in Amazon Books

Publisher:
Elsevier B.V.,
ISBN:
 9781467325752
Edition:
 2012.
Classification:
 QA76.87
URL:
http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1109/AIM.2012.6265983
Detailed notes
    - In this paper a Spiking Neural Networks (SNN)-based model is developed for identification and control of dynamic plants. Spike Response Model (SRM) has been employed to design the model. The learning of the parameters of SNN is carried out using a gradient algorithm. For its use for identification and control purposes, a coding is applied to convert real numbers into spikes. The SNN structure is tested for the identification and control of the dynamic plants commonly used in the literature. It has been found that the proposed structure results in a good performance despite its smaller parameter space.
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Library
Section
EOL-6
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NEU Grand LibraryOnline (QA76.87 .S65 2012)
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