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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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,AN.
Let , there be a new data sample which is characterized by the crisp singleton, x0
Using the simple criterion of maximum membership the typical pattern that the data sample most closely resembles is found by:
ILLUSTRATION
Problem :Identifying a triangle
Suppose the single data sample is described by a data triplet where the three co-ordinate are the angles of a specific triangle
x0={ A=85 , B=50 , C=45 }
Solution: Determining the membership in each of the known patterns of triangle, we get
µI (85,50,45)= 1-5/60 =0.916
..................[:=> 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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FUZZY LOGIC
FOR OPTIMIZATION OF A PROBLEM



By
K.Harish Babu
Roll No: 1109508
M.Tech – I Semester
Industrial Engineering
Department of Mechanical Engineering
Sri Venkateswara University College of Engineering
Tirupathi-517 502 (A.P.) INDIA


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 a..................[:=> 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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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 how to relate neural networ..................[:=> 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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ards the input vector. Consequently, after training is done, the weight vectors of neighboring neurons in the grid are likely to represent input patterns which are close in the original feature space. Thus, a topology-preserving map is formed. When the grid is plotted in the original space, the grid connections are more or less stressed according to the density of the training data. Thus, SOM offers an m dimensional map with a spatial connectivity, which can be interpreted as feature extraction
2.3 Feature Selection

The problem of feature selection is defined as follows: given a set of d f..................[:=> 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 topic Ph value con..................[:=> 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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RACT

A fuzzy logic based automatic braking system is proposed using distance and relative speed sensors as 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 thr..................[:=> 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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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 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 ..................[:=> 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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hroughout life, it can serve as a ???living passwordâ„¢ that one need not remember but one always carries. ...................[:=> Show Contents <=:]



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