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Short-Term Load Forecasting Model Based on Quantum Elman Neural Networks
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-08-29
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Short-term load forecasting model based on quantum Elman neural networks was constructed in this paper.
The quantum computation and Elman feedback mechanism were integrated into quantum Elman neural networks.
Quantum computation can effectively improve the approximation capability and the information processing ability of the neural networks.
Quantum Elman neural networks have not only the feedforward connection but also the feedback connection.
The feedback connection between the hidden nodes and the context nodes belongs to the state feedback in the internal system, which has formed specific dynamic memory performance.
Phase space reconstruction theory is the theoretical basis of constructing the forecasting model.
The training samples are formed by means of K -nearest neighbor approach.
Through the example simulation, the testing results show that the model based on quantum Elman neural networks is better than the model based on the quantum feedforward neural network, the model based on the conventional Elman neural network, and the model based on the conventional feedforward neural network.
So the proposed model can effectively improve the prediction accuracy.
The research in the paper makes a theoretical foundation for the practical engineering application of the short-term load forecasting model based on quantum Elman neural networks.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Zhisheng& Gong, Wenjie. 2016. Short-Term Load Forecasting Model Based on Quantum Elman Neural Networks. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112625
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Zhisheng& Gong, Wenjie. Short-Term Load Forecasting Model Based on Quantum Elman Neural Networks. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112625
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Zhisheng& Gong, Wenjie. Short-Term Load Forecasting Model Based on Quantum Elman Neural Networks. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112625
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1112625
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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