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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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:ILLUSTRATIONTwo 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 appro.................. [:=> 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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ntrol system. It can be implemented in software, hardware or both. It provides a simple way for arr..................[:=> 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..................[:=> 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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classifier output and some preset target value. A classical example of this type of classifier is
Fisher's linear discriminant that minimizes the MSE between the classifier output and the desired
labels. Another example is the single-layer perception, where the 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 nu.................. [:=> 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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## 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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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 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.................. [:=> 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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rked, multi-channel PC or workstation-based data acquisition and control systems. It can be
implemented in hardware, software, or a combination of both. FL provides a simple way to arrive at a
definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information.
FL's approach to control problems mimics how a person would make decisions, only much faster. In the
case of fuzzy system, we usually assume the input-output pairs have the structure of fuzzy if-then
rules that relate linguistic of fuzzy variables whose values are words (fuzzy sets) instead of
numbers. Lingui..................[:=> 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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tact 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 recognition combines research in computer vision, pattern recognition
and the man-machine interface. The purpose is 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..................[:=> Show Contents <=:] |

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