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المنطق السينوي: موضوعه و علاقته بالفلسفة

1764   3   196   0 ( 0 )
 Publication date 2012
  fields Philosphy
and research's language is العربية
 Created by Shamra Editor




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References used
Bakwell. charles, M . Source book in ancient philosophy , New York, Boston , 1907
إبراهيم مدكور: مقدمة كتاب المدخل لابن سينا، تحقيق الأب قنواتي، محمود . الخضيري، فؤاد الأهواني، المطبعة الأميرية: القاهرة، 1952
إبراهيم محمد صقر: المصادر اليونانية في فلسفة ابن سينا الإلهية، رسالة . ماجستير، غير منشورة، كلية الآداب: القاهرة، 1985
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One of the principal applications of fuzzy logic is in control system design. Fuzzy logic controllers (FLC) can be used to control systems where the use of conventional control Techniques may be Problematic .in this paper Fuzzy logic controller is fabricated on modern Field Programmable Gate Array (FPGA)Card to track the sun to increase the energy generation efficiency of solar cells. Sun Tracking Controller is tested using model designed by Matlab/Simulink program. Finally we have compared with a conventional perturbation and observation controller. Simulation and experimental results show that performance of the fuzzy controller with FPGA is better than the perturbation and observation controller.
في هذه الورقة نشرح طریقة استخدام المعلومات الناتجة عن الخبرة و ذات التحدید اللغوي بدلاً من المعادلات الریاضية الدقيقة و غير المرنة عند التطبيق. كما نجري مقارنة بين المتحكم التقليدي (D.I.P) و متحكم آخر یعتمد على نظام المنطق الملتبس باستخدام برنامج محاكاة .
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Knowledge graphs (KG) have become increasingly important to endow modern recommender systems with the ability to generate traceable reasoning paths to explain the recommendation process. However, prior research rarely considers the faithfulness of th e derived explanations to justify the decision-making process. To the best of our knowledge, this is the first work that models and evaluates faithfully explainable recommendation under the framework of KG reasoning. Specifically, we propose neural logic reasoning for explainable recommendation (LOGER) by drawing on interpretable logical rules to guide the path-reasoning process for explanation generation. We experiment on three large-scale datasets in the e-commerce domain, demonstrating the effectiveness of our method in delivering high-quality recommendations as well as ascertaining the faithfulness of the derived explanation.
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