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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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h). Each fuzzy class will have a class center, so V={v1,v2,….vn} is a vector of n class centres. For a new singelton data sample, x , the nearest center classifier 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 equation.................. [:=> 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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ant rate of change of error, but exact values of these numbers are usually unless very responsive
performance is required in which 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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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 we want to
recognise. Can i expect complete information on this topic? so, please send me the file .. .................. [:=> 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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syntax of a language. The patterns are viewed as sentences belonging to a language, primitives are
viewed as the alphabet of the language, and the sentences are generated according to a grammar.
Thus, a large collection of complex patterns can be described by a small number of primitives and
grammatical rules. The grammar for each pattern class must be inferred from the available training
samples 1.5 Neural Networks Neural networks can be viewed as massively parallel computing systems consisting of an extremely large number of simple processors with many interconnections. Neural .................. [:=> 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 su.................. [:=> 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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s inputs and brake-pressure as output. Heuristic rules have been developed and implemented. The
controller monitors the deceleration rate of the vehicle to prevent tire lock-up and the consequent
loss of directional stability. The system offers the flexibility of setting the separation distance.
Simulation of the controller for driving into a stationary or moving objects shows that the system
is performing well. It also uses an anti lock braking system to decelerate the vehicle and a
throttle on-off controller to accelerate the vehicle and maintain a fixed separation distance and
drive behind ..................[:=> 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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g 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 need neural-network techniques to generate the rules. Here arise..................[:=> 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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s real-time, high confidence recognition of a persons identity by mathematical analysis of the
random patterns that are visible with in the iris. Since the iris is a protected internal organ
whose random texture is stable throughout life, it can serve as a ???livin..................[:=> Show Contents <=:] |

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