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Fuzzy Logic Applications in Wireless Communications


Posted 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
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d decoding are discussed. Channel estimation acc..................[:=> Show Contents <=:]



fuzzy logic in aircraft stability


Posted 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
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please help me find seminars material for the above mentioned topic...I downloaded some books ,pdfs ,n some other materials but i don't know what to put in my report so could anybo..................[:=> Show Contents <=:]



Fuzzy Logic Based Differential Relay For Power Transformer Protection reference


Posted 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
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kindly furni..................[:=> Show Contents <=:]



fuzzy logic applications full report


Posted 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
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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 Control


Posted 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
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sir/ma..................[:=> Show Contents <=:]



FUZZY LOGIC IN CONTROL DESIGN ANTILOCK BRAKE SYSTEM


Posted 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
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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 List


Posted 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
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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 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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. 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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