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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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plied to non-linear and time-variant systems and address the complex problems in this domain.
Reduction in complexity and robustness can be achieved by the use of fuzzy logic. Human expert
knowledge is incorporated into a rule-based framework by the fuzzy logic. With learning algorithms,
the fuzzy control parameters can be obtained from the sample data. Neural networks, evolutionary
computation techniques etc maybe combined with the parameters obtained using the fuzzy logic. The fuzzy logic applications in channel estimation, channel equalization and decoding are discussed. Channel estimati.................. [:=> 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 som..................[:=> Show Contents <=:] | |||

## 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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lookup table techniques. For instance, a typical problem associated with traditional techniques is
trading-off the controller's response time versus overshoot. For the simple one-input temperature
controller example this is illustrated in Figure 5: The first linear approximation for the desired curve generates a slow output response with no overshoot, which implies that the room would be too cold for a while. The second linear approximation results in faster response with an overshoot and subsequent fluctuations, which implies that the temperature will be uncomfortable for a period of time................... [:=> 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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## 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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ity to encode a complex system such as an ABS system. However, more complex techniques are available
which can be applied to fuzzy logic systems. For example, it is possible to build a control with
intermediate fuzzy variables, or systems which have memory. With these constructs, it is possible to
build rules such as... If the rear wheels are turning slowly and a short time ago the vehicle speed was high, then reduce rear brake pressure. Such rules lend themselves to development of an ABS braking system based on fuzzy logic. The output of a fuzzy logic system is determined in one of se.................. [:=> 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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ies 25. Analog to Digital Conversion System : Theory and Application 26. WiMax and G LTE : Complement or Competitor 27. ASIC Design Flow 28. Wireless Security Enhancement from the Lowest Layer 29. Performance of Dual Core Processors 30. Advances in Signal Processing and Artificial Intelligence Technologies in the Classification of Power Quality Events 31. The Difference between ANN and HMM 32. Sound separation techniques 33. Face Recognition Technology 34. Deep Space Engineering Application 35. E-commerce Technology Challenges 36. Trans ocean intercontinental optical links 37. WAR.................. [:=> 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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precise, 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 the
fuzzy if-then rules. W..................[:=> Show Contents <=:] |

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