پديد آورنده :
رضوان قهفرخي، تقي
عنوان :
مقايسه شبكه هاي عصبي و جداول استراتژي در تصميم گيري عامل هاي بازي اقليت
مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
سيستم هاي اقتصادي - اجتماعي
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان ،دانشكده صنايع و سيستمها
صفحه شمار :
ده ،111 ،[II]ص.:مصور،نمودار،جدول
يادداشت :
ص.ع. به فارسي و انگليسي
استاد راهنما :
محمد رضا زماني
توصيفگر ها :
استدلال قياسي ،استقرايي , مساله EL FAROL BAR , مدل نرون , شبكه هاي مستقيم ،برگشتي , پرسپترون , پارامتر S ، M
تاريخ نمايه سازي :
06/09/86
دانشكده :
مهندسي صنايع و سيستم ها
چكيده فارسي :
به فارسي و انگليسي :قابل رؤيت در نسخه ديجيتال
چكيده انگليسي :
AbstractIn this thesis we develop a version of minority game Minority game as an agent based modelhas been introduced for analyzing some complicated systems The model is able to recognizethe agents in different environments such as financial markets road traffic and transferringthe packets through the Internet and variety other of cases It is a competitive mechanism for determining how to take advantage of limited resources Inthe standard form the agents in minority game make decisions using strategy tables Thesetables are developed based on the history of the market In the standard form of minoritygame the learning of agents takes place through the process of virtual rating We equipped theagent of to two layer perceptron neural networks instead of strategy tables Back propagationalgorithm is used as the method of learning of the neural network Eventually an analogysurvey of the agents performance is carried out between the previous and the new Resultsdemonstrate that applying two layer perceptron neural networks yields better decisionsaccording to reduced agent attendance and that it enhances performance averages
استاد راهنما :
محمد رضا زماني
