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

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Face recognition using laplaction face at java

The face recognition is a fairly controversial subject right now. A system such as this can recognize and track dangerous criminals and terrorists in a crowd, but some contend that it is an extreme invasion of privacy. The proponents of large-scale face recognition feel that it is a necessary evil to make our country safer. It could benefit the visually impaired and allow them to interact more easily with the environment. Also, a computer vision-based authentication system could be pu ....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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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 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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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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neuro chip


Introduction:-
A neuro-chip is a chip (integrated circuit/microprocessor) that is designed for the interaction with neuronal cells. Technological advances in neural interfaces are providing increasingly more powerful toolkits of designs, materials, components, and integrated devices for establishing high-fidelity chronic neural interfaces. For a broad class of neuroscience studies, the primary requirements of these interfaces include recording and/or stimulating fr ....etc

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hello i need matlab code for face recognition using fuzzy logic with this subject a Fuzzy Clustering Approach for Face
Recognition Based on Face Feature Lines and
Eigenvectors ....etc

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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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