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A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles
المؤلفون المشاركون
Liu, Duen-Ren
Omar, Hani
Hoang, Van Hai
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-05-22
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Enhancing sales and operations planning through forecasting analysis and business intelligence is demanded in many industries and enterprises.
Publishing industries usually pick attractive titles and headlines for their stories to increase sales, since popular article titles and headlines can attract readers to buy magazines.
In this paper, information retrieval techniques are adopted to extract words from article titles.
The popularity measures of article titles are then analyzed by using the search indexes obtained from Google search engine.
Backpropagation Neural Networks (BPNNs) have successfully been used to develop prediction models for sales forecasting.
In this study, we propose a novel hybrid neural network model for sales forecasting based on the prediction result of time series forecasting and the popularity of article titles.
The proposed model uses the historical sales data, popularity of article titles, and the prediction result of a time series, Autoregressive Integrated Moving Average (ARIMA) forecasting method to learn a BPNN-based forecasting model.
Our proposed forecasting model is experimentally evaluated by comparing with conventional sales prediction techniques.
The experimental result shows that our proposed forecasting method outperforms conventional techniques which do not consider the popularity of title words.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Omar, Hani& Hoang, Van Hai& Liu, Duen-Ren. 2016. A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099824
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Omar, Hani…[et al.]. A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1099824
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Omar, Hani& Hoang, Van Hai& Liu, Duen-Ren. A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099824
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099824
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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