Troubleshooting using probabilistic networks and value of information

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Troubleshooting using probabilistic networks and value of information

We develop a decision-theoretic method that yields approximate, low cost troubleshooting plans by making more relevant observations and devoting more time to generate a plan. The method is tested against other methods on three different problems in an experimental setting. Sensitivity analysis of the parameters is also carried out. The method yields low cost troubleshooting plans by spending su...

متن کامل

Troubleshooting Plantwide Oscillations Using Nonlinearity Information

Plant-wide oscillations are common in many processes. Their effects propagate to many units and may impact the overall process performance. It is important to detect and diagnose the cause of such oscillations in order to rectify the situation and maintain the proper profitability of the plant. This paper proposes a new procedure to detect and diagnose plant-wide oscillations using routine oper...

متن کامل

Automated Troubleshooting of Mobile Networks Using Bayesian Networks

In the current telecommunication scenarios operators have to cope with fast technological changes while increasing operational efficiency, i.e. diminishing operational expenditures and, at the same time, maximising performance of the networks. In this paper we present an automated troubleshooting tool for cellular networks, based on Bayesian networks, which will contribute to improve operationa...

متن کامل

synthesis of amido alkylnaphthols using nano-magnetic particles and surfactants

we used dbsa and nano-magnetic for the synthesis of amido alkylnaphtols.

15 صفحه اول

Rule-based joint fuzzy and probabilistic networks

One of the important challenges in Graphical models is the problem of dealing with the uncertainties in the problem. Among graphical networks, fuzzy cognitive map is only capable of modeling fuzzy uncertainty and the Bayesian network is only capable of modeling probabilistic uncertainty. In many real issues, we are faced with both fuzzy and probabilistic uncertainties. In these cases, the propo...

متن کامل

ذخیره 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: International Journal of Approximate Reasoning

سال: 2002

ISSN: 0888-613X

DOI: 10.1016/s0888-613x(01)00057-3