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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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RATION Two fuzzy vectors of length 4 are defined below To find inner product and the outer product Contd solution Properties of fuzzy vectors Properties useful in the area of pattern recognition, given EXTENDING FUZZY VECTORS TO THE CASE OF FUZZY SETSLet P*(X) be a group of fuzzy sets with Defining two fuzzy sets from this family of sets: A , B ε P*(X) Then two metrics to assess the degree of similarity are: Above represents the concept called the approaching degree MULTIFEATURE PATTERN RECOGNITION Three easy popular approaches: Nea.................. [:=> 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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ich case empirical tuning would determine them .................. [:=> 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 RECOGNITIO..................[:=> 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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timal subset Guaranteed to find the optimal subset provided the criterion function satisfies the
monotonicity property, the worst case complexity of tins algorithm is exponential Best Individual Features Evaluate all the m features individually, select the best m individual features Computationally simple, not likely to lead to an optimal subset Sequential Forward Selection(SFS) Select the best single feature and then add one feature at a time which m combination with the selected features maximizes the criterion function Once a feature is retained , it can riot be discarded; computationall.................. [:=> 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 F.................. [:=> 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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onnection..................[:=> 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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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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xture is stable throughout life, it can serve as a ???living passwordâ„¢ that one need not
remember but one always carries. ...................[:=> Show Contents <=:] |

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