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Physical Sciences and Mathematics Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
Application Of A Time Delay Neural Network For Predicting Positive And Negative Links In Social Networks, Saghar Babakhanbak, Kaveh Kavousi, Fardad Farokhi
Application Of A Time Delay Neural Network For Predicting Positive And Negative Links In Social Networks, Saghar Babakhanbak, Kaveh Kavousi, Fardad Farokhi
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Reduction Of Torque Ripple In Induction Motor By Artificial Neural Multinetworks, Fati̇h Korkmaz, İsmai̇l Topaloğlu, Hayati̇ Mamur, Murat Ari, İlhan Tarimer
Reduction Of Torque Ripple In Induction Motor By Artificial Neural Multinetworks, Fati̇h Korkmaz, İsmai̇l Topaloğlu, Hayati̇ Mamur, Murat Ari, İlhan Tarimer
Turkish Journal of Electrical Engineering and Computer Sciences
Direct torque control is used in the high performance control of induction motors. The most frequently faced problem of it is high torque ripples. In this study, a new approach based on artificial neural multinetworks is presented to overcome the problem. Two different artificial neural networks were suggested instead of vector selection and sector determination processes in the conventional direct torque control method. The conventional and the proposed control methods were evaluated on an induction motor through an experimental set. It was observed that the speed and torque responses of the proposed method were better than those of the conventional …
Fpga Implementations Of Scale-Invariant Models Of Neural Networks, Zeinulla Zhanabaev, Yeldos Kozhagulov, Dauren Zhexebay
Fpga Implementations Of Scale-Invariant Models Of Neural Networks, Zeinulla Zhanabaev, Yeldos Kozhagulov, Dauren Zhexebay
Turkish Journal of Electrical Engineering and Computer Sciences
Integrated circuit implementations of new models of neural networks with scale-invariant properties are presented. The specifics of such models are necessary in analysis of discrete mappings containing fractional power. We suggest an algorithm for increasing the power of a physical value by using a field-programmable gate array (FPGA). Comparisons between FPGA implementations and numerical results are demonstrated.