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## Fuzzy Logic Applications in Wireless CommunicationsPosted by: seminar-database Created at: Monday 23rd of May 2011 10:53:16 AM Last Edited Or Replied at :Monday 23rd of May 2011 10:53:16 AM | seminar topics based on fuzzy logics in electronics ,
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d decoding are discussed. Channel estimation acc..................[:=> Show Contents <=:] | |||

## fuzzy logic in aircraft stabilityPosted by: young san Created at: Tuesday 23rd of March 2010 01:48:25 AM Last Edited Or Replied at :Friday 03rd of February 2012 01:05:36 AM | aircraft stability and speed ,
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please help me find seminars material for the above mentioned topic...I downloaded some books ,pdfs
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## Fuzzy Logic Based Differential Relay For Power Transformer Protection referencePosted by: mutawakkil Created at: Friday 19th of March 2010 09:02:29 PM Last Edited Or Replied at :Wednesday 08th of February 2012 01:30:06 AM | Fuzzy Logic Based Differential Relay For Power Transformer Protection,
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## fuzzy logic applications full reportPosted by: seminar topics Created at: Thursday 18th of March 2010 01:23:53 AM Last Edited Or Replied at :Friday 03rd of February 2012 01:06:07 AM | fuzzy sets fuzzy logic applications ,
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ng feature of bivalent sets that can be seen clearly from the diagram is that they are mutually
exclusive - it is not possible to have membership of more than one set ( opinion would widely vary
as to whether 50 degrees Fahrenheit is 'cold' or 'cool' hence the expert knowledge we need to define
our system is mathematically at odds with the humanistic world). Clearly, it is not accurate to
define a transiton from a quantity such as 'warm' to 'hot' by the application of one degree
Fahrenheit of heat. In the real world a smooth (unnoticeable) drift from warm to hot would occur.
This natural phe.................. [:=> Show Contents <=:] | |||

## Application of genetic Algo fuzzy logic in Intelligent ControlPosted by: vaishnavikoppal Created at: Sunday 07th of February 2010 01:35:50 PM Last Edited Or Replied at :Monday 13th of February 2012 03:31:54 AM | intelligent control and automation,
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sir/ma..................[:=> Show Contents <=:] | |||

## FUZZY LOGIC IN CONTROL DESIGN ANTILOCK BRAKE SYSTEMPosted by: computer science technology Created at: Sunday 24th of January 2010 06:09:30 AM Last Edited Or Replied at :Monday 13th of February 2012 04:01:09 AM | anti lock brake system repair ,
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eering. A simulation and optimization tool for fuzzy systems. This tool displays system performance and can be interfaced to conventional simulators to obtain performance data. A code generator which generates complete C-Code for the fuzzy system. The C-Code calls optimized assembly routines on the target controller for fast performance. The following table shows the performance of several test systems on a 20MHz 8XC196Kx device. All times shown are worst-case execution results. Note FAM rules are individually weighted as opposed to a system in which all rules have identical weight: Tab.................. [:=> Show Contents <=:] | |||

## Electronics Communication Seminar Topic ListPosted by: computer science crazy Created at: Monday 09th of November 2009 09:28:17 AM Last Edited Or Replied at :Tuesday 14th of February 2012 01:50:04 AM | Electronics Communication Seminar Topic List,
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model for hypermedia applications 99. Radio Frequency Identification: Evolution of Antenna Circuit Design 100. Network Virus : Creation and Prevention 101. WiMax and G LTE : complement or competitor? 102. Transocean Inter Continental Optical Links 103. Security Architectures 104. IPTV vs Mobile TV : Design and Application 105. HDMI and Display Port : How It Works 106. Smart Home Technologies 107. Emerging Communications Technologies and their impact on Military Communication Systems 108. Engineering and Quran 109. Security of the digital documents 110. Performance Evaluation Of Hyb.................. [:=> Show Contents <=:] | |||

## NEURO FUZZY LOGICPosted 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 | fuzzy logic co2 ,
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. 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 approximate match between the input and the antecedents of the rules.
Generally, fuzzy systems w..................[:=> Show Contents <=:] |

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