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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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sifier is given by d(x,vi)=min{d(x,vk )} Weighted approaching degree Define a new data sample characterized by m features as a collection of non interactive fuzzy sets B={B1,B2,B3……Bn} Each know pattern in m dimensional space is a fuzzy class (pattern) given by Ai={Ai1,Ai2……..Aim} where i=1,2,….c describes c patterns. Some features may be more important so we introduce normalized weighing factors wj, The equations in approaching degree concept is modified for each of the known c patterns by Then sample B is closest to pattern Aj when IllustrationThe last st.................. [:=> 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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attachment=4947]FUZZY LOGIC FOR OPTIMIZATION OF A PROBLEM By K.Harish Babu Roll No: 1109508 M.Tech – I Semester Industrial Engineering Department of Mechanical Engineering Sri Venkateswara University College of Engineering Tirupathi-517 502 (A.P.) INDIA Introduction:This is the first 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 artic.................. [:=> 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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rk to pattern recognition and also how to code the network for the pattern we want to recognise. Can i expect complete information on this topic? so, please send me the file .. Thanking u.................. [:=> 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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he separating hyper plane is iteratively updated as a function of the distances of the misclassified
patterns from the hyper plane. 3.1 Classifier Combination There are several reasons for combining multiple classifiers to solve a given classification problem. So me of them are listed below: 1. A designer may have access to a number of different classifiers, each developed in a different context and for an entirely different representation/description of the same problem. An example is the identification of persons by their voice, face, as well as handwriting. 2. Sometimes more than.................. [:=> 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 .................. [:=> 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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etermined time from the time of detection of the relative connection..................[:=> 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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late 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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rable human features in the face, hand, voice or finger print, the patterns in the iris do not
change overtime and research show the matching accuracy of iris recognition systems is greater than
that of DNA testing. Positive identifications can be made through glasses, contact lenses and most
sunglasses. Automated recognition of people by the pattern of their eyes offers major advantages
over conventional identification techniques. Iris recognition system also require very little
co-operation from the subject, operate at a comfortable distance and are virtually impossible to
deceive. Iris reco..................[:=> Show Contents <=:] |

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