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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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is developed which is effective for complete bridge Converter. Fault identifiers are tested for HVDC with strong and weak ac sides. Fault identification methods are applicable in both inversion and rectification mode. ANFIS based current control is also developed for a HVDC system. Several digital simulation results are presented to validate the procedure outlined in the paper. ANFIS based control can be easily combined with the fault identifier to form integrated system, which can improve dynamic response of HVDC systems.
1. INTRODUCTION
In recent years artificial intelligence base..................[:=> 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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ased on vertical edge using Hough
transform (HT) for extracting the license plate. E.R. Lee, P.K.
Kim and H.J. Kim used neural network for color extraction
and a template matching to recognize characters. S.K. Kim,
D.W. Kim and H.J. Kim used a genetic algorithm based
segmentation to extract the plate region. Tavsanoglu and
Saatci proposed an approach to form orientation map as
recognition feature using a Gabor filter for recognizing
characters. Yoshimura and Etoh used Gabor jets
projection to form a feature vector for recognizing low
resolution gray-scale character...................[:=> 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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for selection of the shape of membership functions, their degree of overlapping, and the levels of data quantization. Some of these problems can be solved if the neural technique is used for fuzzy reasoning. The HVDC system traditionally uses PI controllers to control the DC current thereby keeping the power (current) order at the required level. Although these controllers undoubtedly are robust and are operating satisfactorily 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 fau..................[:=> 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 solar energy..................[:=> 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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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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two area 4 machine. The ANFIS PSS uses a zero order Sugeno type fuzzy logic controller whose membership functions and consequences of also tuned..................[:=> 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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ema architecture of an FDBS used in this paper, that is derived from the ANSI/SPARC three-level data description architecture. The local schema represents the data in locally stored format. The component schema translates the local schema into an application independent form (ERD, IDEF1.X). Whatever wants to be shared from the component schema with other applications is defined in the export schema. All export schemata together become the federated schema.
Figure 3: Five-Level Schema Architecture.
Although the federated schema is not located on one particular (centralized) machine, it is..................[:=> 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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litate interpolation by allowing an approximate match between the input and the antecedents of 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 ne..................[:=> Show Contents <=:]



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