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NEW TRENDS IN HVDC TRANSMISSION BASED ON ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM ANFIS


Posted by: seminar class
Created at: Wednesday 09th of March 2011 12:46:09 AM
Last Edited Or Replied at :Wednesday 09th of March 2011 12:46:09 AM
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torily for many years, they are prone to changes in system parameters, delays or other non-linearties in the system and suffer from some limitations. This paper describes fault identification and protection of a HVDC converter using ANFIS based fault identifier (ANFLBI). A fuzzy logic based current controller (ANFLBC) for the fast and flexible control of an HVDC transmission link is also designed. Unlike other controllers, ANFIS controller does not require a mathematical model of the system to estimate control input under disturbance conditions. ANFLBC can be easily combined with ANFLBI to for..................[:=> Show Contents <=:]



Automatic Vehicle Identification by Plate Recognition


Posted by: seminar class
Created at: Thursday 05th of May 2011 04:18:19 AM
Last Edited Or Replied at :Thursday 05th of May 2011 04:18:19 AM
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e difficult to solve.
Automatic vehicle identification systems are used for the
purpose of effective control.
License plate recognition (LPR) is a form of automatic
vehicle identification. It is an image processing technology
used to identify vehicles by only their license plates. Real time
LPR plays a major role in automatic monitoring of traffic
rules and maintaining law enforcement on public roads .
Since every vehicle carries a unique license plate, no external
cards, tags or transmitters need to be recognizable, only
license plate.
So many researches of car identification ha..................[:=> Show Contents <=:]



NEW TRENDS IN HVDC TRANSMISSION BASED ON ADAPTIVE NEURO-FUZZY INTERFACE SYSTEM ANFIS


Posted by: seminar class
Created at: Wednesday 09th of March 2011 12:46:09 AM
Last Edited Or Replied at :Wednesday 09th of March 2011 12:46:09 AM
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is a major subject of expert systems applications. The past two decades have revealed great advances in the application of artificial intelligence to power systems. A trend that is growing in visibility relates to the use of fuzzy logic in combination with neuro-computing and genetic algorithms. More generally, fuzzy logic, neuro-computing, and genetic algorithms may be viewed as the principal constituents of what might be called soft computing. Unlike the traditional hard computing, soft computing is aimed at an accommodation with the pervasive imprecision of the real world. Number of papers..................[:=> Show Contents <=:]



recent trends in solar energy


Posted by: manasamadhav
Created at: Friday 13th of August 2010 09:36:47 AM
Last Edited Or Replied at :Monday 18th of October 2010 04:21:06 AM
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neeed a project based on the recent development in s..................[:=> Show Contents <=:]



Neuro fuzzy logic for Embedded system appliactions


Posted by: adoras
Created at: Thursday 12th of August 2010 10:36:21 PM
Last Edited Or Replied at :Thursday 12th of August 2010 10:36:21 PM
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..................[:=> Show Contents <=:]



ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC BASED POWER SYSTEM STABILIZER


Posted by: project topics
Created at: Friday 02nd of April 2010 01:26:39 AM
Last Edited Or Replied at :Thursday 27th of February 2014 04:30:46 PM
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equences of also tuned by the back propagation method. The detailed description of the procedure is given in the next sections. Simulation results for a one machine infinite-bus system and one multimachine system are presented to show the effectiveness of the neuro fuzzy-logic in power system ..................[:=> Show Contents <=:]



Advanced Trends In CAD full report


Posted by: project report tiger
Created at: Monday 01st of March 2010 09:00:52 AM
Last Edited Or Replied at :Saturday 16th of October 2010 03:41:53 AM
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tion programs for further optimization. A simulation software, SIMAN, was chosen. However, a simulation also might be used by other components like product and process designers, production managers. An educational version of an MRP package (MRP-DSS) will also provide information for the two other applications.
All three applications do not have explicit interfaces for communication, although the MRP package offers ASCII file import and export functions.
Figure 1: Dataflow between Selected Applications.
Figure 1 shows roughly dataflow that might occur between these applications. Based ..................[:=> Show Contents <=:]



NEURO FUZZY LOGIC


Posted by: seminar projects crazy
Created at: Friday 30th of January 2009 12:18:04 PM
Last Edited Or Replied at :Friday 03rd of February 2012 01:05:58 AM
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the rules. Generally, fuzzy systems work well when we can use experience or introspection to articulate the fuzzy if-then rules. When we cannot do this, we may need neural-network techniques to generate the rules. Here arise adaptive fuzzy systems...................[:=> Show Contents <=:]



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