Spatial Effects in Stochastic Microscopic Models - Case Study and Analysis
نویسندگان
چکیده
منابع مشابه
Spatial Effects in Stochastic Microscopic Models - Case Study and Analysis
In this paper we will not discuss different motivations and applications of microscopic models, but are presenting a technique to investigate the theoretical background of microscopic models. In context of our work we use the term microscopic model for dynamic (hereby used to indicate temporal dependent) models, consisting of a high number of similar sub-models, which will furthermore be denote...
متن کاملassessing political stability and instability in central asia and caucasus; case study, azerbaijan and kyrgyzstan
منطقه ی آسیای مرکزی وقفقاز به عنوان منطقه ای تاریخی و به دلیل دارا بودن ذخایر عظیم هیدرو کربنی از اهمیت ویژه ای برخوردار است. کشورهای این منطقه از عوامل عمده ی بی ثباتی نظیر عوامل جغرافیایی، اقتصادی، امنیتی، اجتماعی و سیاسی رنج می برند. پس از فروپاشی اتحاد جماهیر شوروی کشورهای منطقه از نعمت استقلال ناخواسته ای برخوردار شدند که مشکلات فوق را برای آن ها چندین برابر می کرد. در این روند برخی از این...
15 صفحه اولSpatial zoning and spatial analysis of urban poverty using spatial analysis (Case study: Mashhad city)
Spatial Zoning and Analysis of Urban Poverty via Spatial Analysis (Case Study: Mashhad City) Abstract Examining the degree of poverty in every community is the first step taken towards planning for fighting against poverty and deprivation. With understanding the poverty change process over time, planners can make the necessary decisions. The present study aims to investigate the spatial z...
متن کاملSpatial zoning and spatial analysis of urban poverty using spatial analysis (Case study: Mashhad city)
Spatial Zoning and Analysis of Urban Poverty via Spatial Analysis (Case Study: Mashhad City) Abstract Examining the degree of poverty in every community is the first step taken towards planning for fighting against poverty and deprivation. With understanding the poverty change process over time, planners can make the necessary decisions. The present study aims to investigate the spatial z...
متن کاملcomparison of stochastic models and conceptual models in hydrological drought forecast (case study: karkheh river basin)
drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2015
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2015.05.121