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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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Abstract
An ideal artificial hand should match the requirements of prosthetics and humanoid robotics. It can be wearable by the user which means that it can be perceived as part of the natural body and should replicate sensory-motor capabilities of the natural hand. However, such an ideal bionic prosthesis is still far from reality. This paper describes the design and fabrication of a novel artificial hand based on a biomechatronic and cybernetic approach. Our approach is aimed at providing natural sensory-motor co-ordination, by ....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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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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neuro fuzzy based multilevel inverter thesis report ....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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Visual Neuro Prosthetics

Recent technological breakthroughs in materials and micro fabrication technologies afford neurosurgeons ophthalmologists and engineers the opportunity to reconsider the prospect of providing a useful visual sense to the profoundly blind. This will be accomplished by electrically stimulating their visual systems via an array of implanted electrodes, which can be safely implanted into the visual parts of the brain with little significant long term consequences.

Preliminary experiments have pro ....etc

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ABSTRACT
It is reported that millions of people are suffering from some kind of hearing impairment. The number is climbing due to the increasing portion of elderly people in the world s population. While hearing loss is usually caused by permanent mechanical damage to the ear, there is no medicine to reverse it, as surgery offers little help.
Thus the electronic hearing aid or prosthetic are the best known solutions to the patients. Hence a neurofuzzy approach for devices that combine neural networks and fuzzy logic to ach ....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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