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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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33]
PATTERN RECOGNITION
It can be described as a process of identifying structure in data by comparisons to known structure
Purpose is to assign each input to one of c possible pattern classes
Statistical pattern recognition systems rest on mathematical models
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 (..................[:=> 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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tion.

Fuzzy logic requires some numerical parameters in order to operate such as what is considered significant error and significant rate of change of error, but exact values of these numbers are usually unless very responsive performance is required in which case empirical tun..................[:=> 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 re..................[:=> 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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efined on the grid) of the winner are updated such that their weight vectors move towards 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 Se..................[:=> 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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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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or not, after expiration of a predetermined time from the time of detection of the relative connection..................[:=> 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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n rules. When we cannot do this, we may need neural-network techniques to generate the rules. Here arise adaptive fuzzy systems...................[:=> 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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ion combines research in computer vision, pattern recognition and the man-machine interface. The purpose is real-time, high confidence recognition of a persons..................[:=> Show Contents <=:]



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