Using of Self-Organizing Maps for Display and Analysis ofMultidimensional Spaces In Accounting
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
View: 492
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
MCED02_117
تاریخ نمایه سازی: 21 شهریور 1395
Abstract:
This research deals with the comparative examination of applying artificial neural networks and auto regressionmodel and its influence in declining prediction error of Tehran’s stock market index. The basic subject of theresearch is to find a method to the better prediction of stock price. Statistical societies of this study are thosecompanies accepted in Tehran’s stock market during 2002 –2014. Statically sample of the research equals to thestatistical society .Required data are gathered by library studies for research literature and by country stock marketorganization software’s for variables. According to the achieved results of comparing the actual performance withprediction by the regression line and prediction by artificial neural network, it can be concluded that the differencebetween those predicted by artificial neural network and actual performance is less than the difference betweenthose predicted by regression line. This may be due to the nonlinear nature of neural network, and also randomsteps theory and performing of that in this kind of network
Keywords:
Authors
Tahereh Azizzadeh1
Department of Accounting, Ilkhchi Branch, Islamic Azad University, Ilkhchi, Iran
Parinaz Rezaei Mameghani2
Department of Accounting, Ilkhchi Branch, Islamic Azad University, Ilkhchi, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :