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Register a new userNeural networks and their role in the sales forecasting accuracy (Case study of ALFANAR Company)
الشبكات العصبية و دورها في دقة التنبؤ بالمبيعات (حالة عملية شركة الفنار السعودية)
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Syrian Virtual University رسالة ماجستير
Publication date
2015
and research's language is
العربية
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أهداف البحث: -1 دراسة نظرية عن أهمية و أثر الدقة في التنبؤ بالمبيعات على خطط الإنتاج و التسويق و التوزيع. -2 دراسة مرجعية عن التنقيب في البيانات و التنبؤ باستخدام السلاسل الزمنية و الشبكات العصبونية. -3 استخدام الشبكات العصبية الصناعية في زيادة دقة التنبؤ بحجم المبيعات الشهرية لشركة الفنار. -4 اختبار تفوق الشبكات العصبية في التنبؤ على نموذجي المتوسطات المتحركة و الانحدار.
No English abstract
References used
عبلة مخربش. ( 2006 ). تقدير نموذج للتنبؤ بالمبيعات باستخدام السلاسل الزمنية. جامعة قاصدي مرباح الجزائر
أ.د غالب الرفاعي. ( 2006 ). التحليل الكمي لمؤشرات الحوادث المرورية في الأردن. جامعة الزيتونة.
عبير الجبولي. ( 2010 ). التنبؤ بأسعار النفط العراقي باستخدام السلاسل الزمنية. مجلة جامعة بابل.
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In this paper, we presented a scientific methodicalness in
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artificial neural networks, and we relied upon real data of Syrian
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In this research, We present a scientific advanced developed
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short-term electrical load forecasting and applying this study for
electrical load forecasting of basic Syrian electrical p
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