نتایج جستجو برای: intelligent optimization techniques

تعداد نتایج: 972410  

Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

This paper describes third aircraft model with 2 degrees of freedom. The aim of this study is to develop a mathematical model for investigation of adoptable landing gear vibration behavior and to design Proportional Integration Derivative (PID) classical techniques for control of active hydraulic nonlinear actuator. The parameters of controller and suspension system are adjusted according to be...

This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...

Baradaran Kazemzadeh, R., , Amin-Naseri, M.R., Salehi, M., Salmasnia, A.,

  This paper proposes a new intelligent approach for solving multi-response statistical optimization problems. In most real world optimization problems, we are encountered adjusting process variables to achieve optimal levels of output variables (response variables). Usual optimization methods often begin with estimating the relation function between the response variable and the control variab...

2006
Achuthsankar S. Nair J. S. Jayasudha

The ever increasing use of World Wide Web in the existing network, results in poor performance. Several techniques have been developed for reducing web traffic by compressing the size of the file, saving the web pages at the client side, changing the burst nature of traffic into constant rate etc. No single method was adequate enough to access the document instantly through the Internet. In thi...

Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and optimization technique has been vastly concentrated for improving fuzzy expert systems. In this paper, the GA...

Journal: :IEEE Trans. Knowl. Data Eng. 1996
Jiawei Han Yue Huang Nick Cercone Yongjian Fu

Knowledge discovery in databases facilitates querying database knowledge, cooperative query answering and semantic query optimization in database systems. In this paper, we investigate the application of discovered knowledge, concept hierarchies, and knowledge discovery tools for intelligent query answering in database systems. A knowledge-rich data model is constructed to incorporate discovere...

2003
Fernando Jiménez Humberto Martínez Ramón Rizo

The aim of PANDORA Project is the design, implementation and evaluation of platform for the experimentation with mobile robots based on the use of behaviour component learning and it fusion by means of intelligent techniques, and the use of active vision techniques in the objective determination for the plan development. This platform will allow the remote experimentation and collaboration by m...

2007
Prakash R. Kotecha Mani Bhushan Ravindra D. Gudi

Optimal placement of sensors based on different criteria viz., precision, reliability, cost, and fault unobservability has been an important area of research in the last few years. Most of the sensor location problems proposed in literature have been solved either using graph theoretic approaches or conventional mathematical optimization techniques. However, these techniques have not been able ...

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