مراقبة توتر قضبان تجميع شبكة نقل الطاقة الكهربائية السورية باستخدام خرائط كوهونين العصبونية ذاتية التنظيم ذات التعليم المراقب
This paper presents the usage of a type of neural networks called Kohonen Supervised Self-Organizing Maps SSOM for security assessment of Syrian power transmission system by monitoring buses voltage. With the increase in load demand, the network is loaded to its limits making it vulnerable to black...
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Formáid: | LEABHAR |
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Tishreen University,
2018-10-01T00:00:00Z.
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