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Application of fuzzy logic In pattern recognition


Posted 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
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dels
FEATURE ANALYSIS
It 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 (FE): transforming the original p-dimensional feature space into an s-dimensional space
SINGLE-SAMPLE IDENTIFICATION
Let us express the typical patterns as fuzzy sets
A1 , A2,………,AN.
Let , there be a new data sample which is characterized by t..................[:=> Show Contents <=:]



FUZZY LOGIC FOR OPTIMIZATION OF A PROBLEM


Posted 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
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formance is required in which case empirical tuning would determine them


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pattern recognition using neural networks


Posted 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
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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 ..
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PATTERN RECOGNITION - A STATISTICAL APPROACH full report


Posted 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
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lustering) in which
the pattern is assigned to a hitherto unknown class.


Interest in the area of pattern recognition has been not only challenging but also computationally more renewed recently due to emerging applications which are demanding (Refer Table I)


Problem Domain Application Input Pattern Pattern Classes
Remote sensing Forecasting crop yield Miiltispectral nnage Land use categories, growth pattern of crops
Data mining Searching for meaningful patterns Pomts in multidimensional space Compact and well separated clusters
Speech Recognition Telephone directory enqui..................[:=> Show Contents <=:]



PH value control using Fuzzy logic


Posted 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
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Please mail me a detailed paper which includes explaination with diagramatical support on the..................[:=> Show Contents <=:]



Automatic braking system using fuzzy logic


Posted 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
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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 the object in a tracking mode
A collision avoidance judging section is provided which, based on a relative connection between own vehicl..................[:=> Show Contents <=:]



NEURO FUZZY LOGIC


Posted 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
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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. Linguistic variables facilitate interpolation by allowing an approxima..................[:=> Show Contents <=:]



Automated Eye-Pattern Recognition Systems


Posted 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
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nition system provides a barrier to and virtually eliminates fraudulent authentication and identity privacy and safety controls privileged access or authorised entry to sensitive sites, data or material. In addition to privacy protection there are myriad of applications were iris recognition technology can provide protection and security. This technology offers the potential to unlock major business opportunities by providing high confidence customer validation. Unlike other measurable human features in the face, hand, voice or finger print, the patterns in the iris do not change overtime and ..................[:=> Show Contents <=:]



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