a Record control number edselc.2-52.0-84866916289

a ISBN 978-14-6732575-2

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number QA76.87

b Item number .S65 2012

a Personal name Abiyev, Rahib H.,

h Medium Electronic Document

a Title Spiking neural networks for identification and control of dynamic plants.

c Statement of responsibility, etc Rahib H. Abiyev, O. Kaynak, Y.Oniz.

b Name of publisher, distributor, etc Elsevier B.V.,

c Date of publication, distribution, etc 2012.

a Summary, etc 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.

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Topical term or geographic name as entry element Neurons

a Topical term or geographic name as entry element Backpropagation

a Main entry heading In: IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, AIM 2012 - 2012 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Conference Digest. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, 2012, :1030-1035)

g Relationship information 2012, p.1030-1035.

u Uniform Resource Identifier http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1109/AIM.2012.6265983