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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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I (85,50,45)= 1-5/60 =0.916
µR (85,50,45)= 1-5/90 =0.94
µIR (85,50,45)= 1-max(5/60,5/90) =0.916
µE (85,50,45)= 1-40/180 =0.78
µT (85,50,45)= 1/180min(3.35,3(5),2/5,40) = 0.05
Thus x0 most closely resembles the right triangle pattern
Let us take the case when the new data sample is a fuzzy set itself and for this we need the notion of fuzzy vectors
Formally a vector a =(a1,a2…….an) is called a fuzzy vector if for any element we have (0<..................[:=> 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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Introduction:
This is the first in a series of six articles intended to share information and experience in the realm of fuzzy logic (FL) and its application. This article will introduce FL. Through the course of this article series a simple implementation will be explained in detail. Each article will include additional outside resource reference for interested readers.

Fuzzy logic is a problem solving control methodology that lends itself to implementation in system ranging from simple, small, embedded microcontollers to large, networked, multi channel computers or work station..................[:=> Show Contents <=:]



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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m. Iam pavithra studying M.Tech production engineering. I wanna 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 fo..................[:=> Show Contents <=:]



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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to training a neural network.
A feed-forward neural network offers an integrated procedure for feature extraction and classification; the output of each hidden layer may be interpreted as a set of new, often nonlinear, features presented to the output layer for classification. In this sense, multilayer networks serve as feature extractors
The Self-Organizing Map (SOM), or Kohonen Map , can also be used for nonlinear feature extraction. In SOM, neurons are arranged in an m dimensional grid, where m is usually 1, 2, or 3. Each neuron is connected to all the d input units. The weights on the..................[:=> 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 explain..................[:=> 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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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 the relative connection, carries out an estimation as to whether or not, after expiration of a predetermined time from the time o..................[:=> 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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tem, we usually assume the input-output pairs ..................[:=> 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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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 research show the matching accuracy of iris recognition systems is greater than that of DNA testing. Positive identifications can be made through glasses, contact 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 com..................[:=> Show Contents <=:]



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