In this context, FL (Fuzzy Logic) is a problem-solving control system methodology that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstation-based data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. 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 m ....etc

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i am in need of fuzzy logic code.about simple fuzzy logic matlab code with example. useful for understanding the basic knowledge about fuzzy code ....etc

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hii
to know more about Neuro fuzzy logic for Embedded system appliactions please follow the link:
http://googleurl?sa=t&source=web&cd=3&ved=0CBoQFjAC&url=http%3A%2F%2Ffkee.uthm.edu.my%2Fmfauzi%2FFL_files%2FFuzzy%2520Logic%2520for%2520Embedded%2520System%2520Application.pdf&ei=jfqaTOrtE9GP4QaJyNVB&usg=AFQjCNHkxvCaQ2ncR-qSAjRmhHSoI7Hthg ....etc

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to get information about the topic FACE RECOGNITION USING Neural Network full report ,ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-face-recognition-using-neural-network--7532

http://seminarsprojects.net/Thread-face-recognition-using-neural-networks-download-seminars-report

http://seminarsprojects.net/Thread-face-recognition-using-neural-networks-download-seminars-report?page=5

http://seminarsprojects.net/Thread-face-recognition-using-artificial-neural-networks

http://seminarsprojects.net/Thread-digi ....etc

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ACOUSTIC NOISE CANCELLATION USING ADAPTIVE FILTERING


Abstract
All the physical systems when they operate produce physical noise, which is a mixing of an infinitive number of sinusoidal harmonics with different frequencies. So, the initial signal information is corrupted with this noise. This complex signal, may be very noisy, so much that the human ear or other system which may follow it, cannot receive correct the initial signal.

2. Literature Survey
Some of the earlie ....etc

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Torque Ripple Minimization in a Switched
Reluctance Drive by Neuro-fuzzy
Compensation

Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special applications. A new method for shaping the motor currents so that the ripple can be reduced is presented by this paper. Here, a compensating signal is added to the output of a PI
controller. This is added in a current regulated speed control loop.

Introduction
....etc

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Adaptive Neuro-Fuzzy Inference System using Particle Swarm Optimization and it s Application


INTRODUCTION

The Adaptive Neuro-Fuzzy Inference System combines the concept of Fuzzy logic and Neural network to form a hybrid intelligent system that enhances the ability to automatically learn and adapt.

The Particle Swarm Optimization algorithm used to get the optimal values and parameters of our ANFIS model.

NEURAL NETWORK

A Neural network can be describe ....etc

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neuro fuzzy based multilevel inverter thesis report ....etc

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hi
i am implementing active noise control for a duct using C 6713. i need c++ code for it. or if someone can guide me becuase i have implemented C32 DSP but implementation of C6713 is different from C32.

Best Regards,
Muhammad Shoaib Rabbani ....etc

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to get information about the topic adaptive neuro fuzzy inference system related topic refer the page link bellow

http://seminarsprojects.net/Thread-adaptive-neuro-fuzzy-inference-system ....etc

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