Sales Growth Rate Forecasting Using Improved PSO and SVM
المؤلفون المشاركون
Zeng, Jun
Wen, Junhao
Jiang, Zhuo
Wang, Xibin
Gao, Xiang
Alam, Shafiq
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-06-24
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Accurate forecast of the sales growth rate plays a decisive role in determining the amount of advertising investment.
In this study, we present a preclassification and later regression based method optimized by improved particle swarm optimization (IPSO) for sales growth rate forecasting.
We use support vector machine (SVM) as a classification model.
The nonlinear relationship in sales growth rate forecasting is efficiently represented by SVM, while IPSO is optimizing the training parameters of SVM.
IPSO addresses issues of traditional PSO, such as relapsing into local optimum, slow convergence speed, and low convergence precision in the later evolution.
We performed two experiments; firstly, three classic benchmark functions are used to verify the validity of the IPSO algorithm against PSO.
Having shown IPSO outperform PSO in convergence speed, precision, and escaping local optima, in our second experiment, we apply IPSO to the proposed model.
The sales growth rate forecasting cases are used to testify the forecasting performance of proposed model.
According to the requirements and industry knowledge, the sample data was first classified to obtain types of the test samples.
Next, the values of the test samples were forecast using the SVM regression algorithm.
The experimental results demonstrate that the proposed model has good forecasting performance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Xibin& Wen, Junhao& Alam, Shafiq& Gao, Xiang& Jiang, Zhuo& Zeng, Jun. 2014. Sales Growth Rate Forecasting Using Improved PSO and SVM. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-472305
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Xibin…[et al.]. Sales Growth Rate Forecasting Using Improved PSO and SVM. Mathematical Problems in Engineering No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-472305
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Xibin& Wen, Junhao& Alam, Shafiq& Gao, Xiang& Jiang, Zhuo& Zeng, Jun. Sales Growth Rate Forecasting Using Improved PSO and SVM. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-472305
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-472305
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