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Title: INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM
Page Link: INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM -
Posted By: puppyspark
Created at: Saturday 18th of February 2012 10:08:23 AM
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Title: Application of Fuzzy Logic In Medicine full report
Page Link: Application of Fuzzy Logic In Medicine full report -
Posted By: project topics
Created at: Thursday 14th of April 2011 07:15:24 PM
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ABSTRACT
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated Western and Eastern medicine, the optimal selection of medical treatments integrating Western and Eastern medicine, and for real-time monitoring of patient data. This was verified by trials with the following systems t ....etc

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Title: RE INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM
Page Link: RE INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM -
Posted By: a.ganesh
Created at: Saturday 17th of December 2011 03:35:43 PM
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i like to do the INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM project, so please send the information(abstract,project details)... ....etc

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Title: Application of genetic Algo fuzzy logic in Intelligent Control
Page Link: Application of genetic Algo fuzzy logic in Intelligent Control -
Posted By: vaishnavikoppal
Created at: Monday 08th of February 2010 03:35:50 AM
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Title: Fuzzy Logic and Fuzzy Sets
Page Link: Fuzzy Logic and Fuzzy Sets -
Posted By: seminar addict
Created at: Saturday 28th of January 2012 06:57:22 PM
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Fuzzy Logic and Fuzzy Sets


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

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Title: Digital Logic for Medicine and Biology Research
Page Link: Digital Logic for Medicine and Biology Research -
Posted By: seminar surveyer
Created at: Saturday 25th of September 2010 05:52:11 PM
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Author: Dr. Javier Resano

Abstract

Here, students learn that the comparison of DNA sequences is important to a wide variety of applications in medicine and biology, including the analyses of ecosystem biodiversity, cancer mutations and the evolution of viruses. The students learn that specialized yet inexpensive digital hardware based on field programmable gate arrays can help speed the analysis of DNA sequences. They design and test a simple implementation of the Smith-Waterman algorithm that is broadly used for DNA sequence ....etc

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Title: fuzzy logic technical application in coal power plant ppt
Page Link: fuzzy logic technical application in coal power plant ppt -
Posted By:
Created at: Tuesday 18th of February 2014 11:09:58 AM
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Title: neural networks and fuzzy logic ppt
Page Link: neural networks and fuzzy logic ppt -
Posted By:
Created at: Sunday 14th of October 2012 07:38:52 PM
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Title: INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM
Page Link: INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM -
Posted By: speedyabhi
Created at: Tuesday 12th of July 2011 02:52:41 PM
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Title: Application of fuzzy logic In pattern recognition
Page Link: Application of fuzzy logic In pattern recognition -
Posted By: seminar class
Created at: Thursday 12th of May 2011 02:24:23 PM
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PRESENTED BY:
SIDDHARTH JAIN


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 origina ....etc

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