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## Application of fuzzy logic In pattern recognitionPosted by: seminar class Created at: Thursday 12th of May 2011 01:24:23 AM Last Edited Or Replied at :Thursday 12th of May 2011 01:24:23 AM | application of fuzzy logic in pattern recognition ,
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f triangle, we get ÂµI (85,50,45)= 1-5/60 =0.916 ÂµR (85,50,45)= 1-5/90 =0.94 ÂµIR (85,50,45)= 1-max(5/60,5/90) =0.916 ÂµE (85,50,45)= 1-40/180 =0.78 ÂµT (85,50,45)= 1/180min(3.35,3(5),2/5,40) = 0.05 Thus x0 most closely resembles the right triangle pattern Let us take the case when the new data sample is a fuzzy set itself and for this we need the notion of fuzzy vectors Formally a vector a =(a1,a2â€¦â€¦.an) is called a fuzzy vector if for .................. [:=> Show Contents <=:] | |||

## FUZZY LOGIC FOR OPTIMIZATION OF A PROBLEMPosted by: project report helper Created at: Monday 04th of October 2010 03:37:18 AM Last Edited Or Replied at :Monday 04th of October 2010 03:37:18 AM | constraint optimization problem example,
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t in a series of six articles intended to share information and experience in the realm of fuzzy
logic (FL) and its application. This article will introduce FL. Through the course of this article
series a simple implementation will be explained in detail. Each article will include additional
outside resource reference for interested readers. Fuzzy logic is a problem solving control methodology that lends itself to implementation in system ranging from simple, small, embedded microcontollers to large, networked, multi channel computers or work station based data acquisition and control sys.................. [:=> Show Contents <=:] | |||

## pattern recognition using neural networksPosted by: pavithra.. Created at: Monday 19th of July 2010 08:15:41 AM Last Edited Or Replied at :Thursday 18th of November 2010 01:44:36 AM | networks,
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pavithra studying M.Tech production engineering. I wanna do a seminars on PATTERN RECOGNITION USING
NEURAL NETWORKS.. I dont know how to relate neural network to pattern recognition and also how to
code the network for the pattern ..................[:=> Show Contents <=:] | |||

## PATTERN RECOGNITION - A STATISTICAL APPROACH full reportPosted by: computer science topics Created at: Monday 07th of June 2010 07:57:38 AM Last Edited Or Replied at :Monday 07th of June 2010 07:57:38 AM | pattern recognition algorithms ,
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h different types of misclassifications. For known class conditional densities, the Bayes decision
rule gives the optimum classifier, in the sense that, for given prior probabilities, loss function
and class -conditional densities, no other decision rule will have a lower risk (i.e., expected
value of the loss function, for example, probability of error). If the prior class probabilities are
equal and a 0/1 loss function is adopted, the Bayes decis ion rule and the maximum likelihood
decision rule exactly coincide. The third category of classifiers is to construct decision boundaries directly.................. [:=> Show Contents <=:] | |||

## PH value control using Fuzzy logicPosted by: Gouri Created at: Sunday 07th of February 2010 02:28:27 AM Last Edited Or Replied at :Sunday 05th of June 2011 02:48:03 AM | PH value control using Fuzzy logic,
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Please mail me a detailed paper which includes explaination with diagramatical support on the topic Ph value control sing FUZZY L.................. [:=> Show Contents <=:] | |||

## Automatic braking system using fuzzy logicPosted by: electronics seminars Created at: Thursday 10th of December 2009 03:55:09 AM Last Edited Or Replied at :Tuesday 14th of February 2012 01:44:24 AM | logic ,
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er to accelerate the vehicle and maintain a fixed separation distance and drive behind the object in
a tracking mode A collision avoidance judging section is provided which, based on a relative connection between own vehicle and preceding vehicle, carries out a judgment as to whether or not a possible collision is avoidable by operating at least one of a steering wheel and a brake pedal, and a collision avoidance estimating section is provided which, based on the relative connection, carries out an estimation as to whether or not, after expiration of a predetermined time from the time of d.................. [:=> Show Contents <=:] | |||

## NEURO FUZZY LOGICPosted 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 | fuzzy logic co2,
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ally, 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 <=:] | |||

## Automated Eye-Pattern Recognition SystemsPosted by: computer science crazy Created at: Sunday 21st of September 2008 12:53:45 PM Last Edited Or Replied at :Thursday 17th of March 2011 11:11:48 PM | Systems ,
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€žÂ¢s complex society. With only passwords, or Social Security Numbers as identity or security
measures every one is vulnerable to invasion of privacy or break of security. Traditional means of
identification are easily compromise and enyone can use this information to assume anotherÃ¢â€žÂ¢s
identity. Sensitive personal and corporate information can be assessed and even criminal activities
can be performed using another name. Eye pattern recognition system provides a barrier to and
virtually eliminates fraudulent authentication and identity privacy and safety controls privileged
access or auth..................[:=> Show Contents <=:] |

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