نتایج جستجو برای: analytical hierarchi process
تعداد نتایج: 1453701 فیلتر نتایج به سال:
Recently there have been a number of dif ferent approaches developed for hierarchi cal reinforcement learning in propositional setting We propose a hierarchical version of relational reinforcement learning HRRL We describe a value function approximation method inspired by logic programming which is suitable for HRRL
مطالعات پیشین در ارتباط با عدم تعادل دامنه ای نشانگر این مهم است که ریزش های دامنه ای به صورت تصادفی رخ نمی دهند. بر این اساس مناطق دارای ریسک بالای ریزش می توانند بر مبنای شواهد اقلیمی و ژئومورفولوژیکی موجود شناسایی و طبقه بندی شوند. بنابراین می-توان نقشه ریسک ریزش های دامنه ای را که عمدتا نتیجه فرسایش دامنه های پرشیب هستند با استفاده از سیستم های نوین رایانه ای (سیستم اطلاعات جغرافیایی) تهیه ...
locating landfills in urban areas is one of the most important issues in urban planning because of the effect on economy, ecology, and environment, therefore the right management and principled landfilling of solid waste is the major concern all over the world especially in the developed countries. in locating landfills, different criteria should be considered. in the present study, locating si...
just like any other process, vaccine manufacturing procedures are defined as a series of interrelated functions and activities using a variety of specified actions and equipment designed to produce a defined product. to assure the reproducibility and consistency of such processes, they must be carried out using validated equipment and under the established procedures that meet all the acceptanc...
the purpose of this study is identifying effective factors which make customers shop online in iran and investigating the importance of discovered factors in online customers’ decision. in the identifying phase, to discover the factors affecting online shopping behavior of customers in iran, the derived reference model summarizing antecedents of online shopping proposed by change et al. was us...
Deep learning (DL) is a type of machine learning that mimics the thinking patterns of a human brain to learn the new abstract features automatically by deep and hierarchi‐ cal layers. DL is implemented by deep neural network (DNN) which has multihidden layers. DNN is developed from traditional artificial neural network (ANN). However, in the training process of DL, it has certain inefficiency d...
throughout life cycle of oil production wells, it is imperative to have production optimization and real response time to rapid changes of well conditions and more understanding of subsurface otherwise it is the matter of expenditure losing. smart well capabilities meet aforementioned issues. however there is a key concern in managers' mind that they have limited budget and several fields' docu...
this research conducted in order to prioritize the effective criteria on development of medicinal plants cultivation in north khorasan province using analytical hierarchy process (ahp) and delphi methods. for this purpose, a list of effective factors offered to delphi group. analysis of delphi process showed that among 23 offered factors 19 factors, had greater impact on development of medicina...
the final goal of all dairy cow raising systems in the world is to use the available capacities and the cooperation of other sectors in order to solve the problems and issues, such as the limitations in time, man power and financial resources, for providing a complete answer. therefore, the need for optimization of cow raising systems by prioritization of measures and plans is the most obvious ...
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