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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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33]PATTERN RECOGNITIONIt can be described as a process of identifying structure in data by comparisons to known structure Purpose is to assign each input to one of c possible pattern classes Statistical pattern recognition systems rest on mathematical models FEATURE ANALYSISIt refers to methods for conditioning the raw data so that the information most relevant for recognition is enhanced It consists of three components Feature nomination(FN): proposing the original p features Feature selection(FS): choosing the best subset of s features(s
Feature extraction (.................. | |||

## 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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tion. Fuzzy logic requires some numerical parameters in order to operate such as what is considered significant error and significant rate of change of error, but exact values of these numbers are usually unless very responsive performance is required in which case empirical tun.................. [:=> 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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agud evng sir/msdam. Iam pavithra studying M.Tech production engineering. I wanna do a seminars on
PATTERN RECOGNITION USING NEURAL NETWORKS.. I dont know how to re..................[:=> 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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efined on the grid) of the winner are updated such that their weight vectors move towards the input
vector. Consequently, after training is done, the weight vectors of neighboring neurons in the grid
are likely to represent input patterns which are close in the original feature space. Thus, a
topology-preserving map is formed. When the grid is plotted in the original space, the grid
connections are more or less stressed according to the density of the training data. Thus, SOM
offers an m dimensional map with a spatial connectivity, which can be interpreted as feature
extraction 2.3 Feature Se.................. [:=> 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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[/size..................[:=> 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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or not, after expiration of a predetermined 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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n 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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ion combines research in computer vision, pattern recognition and the man-machine interface. The
purpose is real-time, high confidence recognition of a persons..................[:=> Show Contents <=:] |

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