Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems
المؤلفون المشاركون
Milić, Miljana
Milojković, Jelena
Marković, Ivan
Nikolić, Petar
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-01
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Accurate prediction of the short time series with highly irregular behavior is a challenging task found in many areas of modern science.
Such data fluctuations are not systematic and hardly predictable.
In recent years, artificial neural networks have widely been exploited for those purposes.
Although it is possible to model nonlinear behavior of short time series by using ANNs, very often they are not able to handle all events equally well.
Therefore, alternative approaches have to be applied.
In this study, a new, concurrent, performance-based methodology that combines best ANN topologies in order to decrease the forecasting errors and increase the forecasting certainty is proposed.
The proposed approach is verified on three different data sets: the Serbian Gross National Income time series, the municipal traffic flow for a particular observation point, and the daily electric load consumption time series.
It is shown that the method can significantly increase the forecasting accuracy of the individual networks, regardless of their topologies, which makes the methodology more applicable.
For quantitative comparison of the accuracy of the proposed methodology with that of similar methodologies, a series of additional forecasting experiments that include a state-of-the-art ARIMA modelling and a combination of ANN and linear regression forecasting have been conducted.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Milić, Miljana& Milojković, Jelena& Marković, Ivan& Nikolić, Petar. 2019. Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129674
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Milić, Miljana…[et al.]. Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1129674
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Milić, Miljana& Milojković, Jelena& Marković, Ivan& Nikolić, Petar. Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129674
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129674
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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