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

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ADAPTIVE-NETWORK-BASED FUZZY INFERENCE SYSTEMS


Set Operations

Containment or Subset,
Union (disjunction),
Intersection (conjunction),
Complement (negation),
Probabilistic AND,
Probabilistic OR.

Partition styles for fuzzy models

Grid partition - often chosen in designing a fuzzy controller,
problems when we have moderately large number of inputs.
Tree partition - relives the problem of an exponential increase
in the number of rules.
Scatter partition.

ADAPTIVE NE ....etc

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Introduction to Servomotor Programming

Welcome to Servo Programming
In the previous chapters, we ve done some cool things, but we ve essentially treated our robot as a desktop
computer. Now we are ready to attach the BX-24 to a robot body and make it mobile with the use of
servomotors. In this chapter, you will learn what servos are, how they operate, and how modified servos can be
used as drive motors for the Robodyssey Mouse.
This chapter covers many important topics, so read it slowly and thoroug ....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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hii
to know more about Neuro fuzzy logic for Embedded system appliactions please follow the link:
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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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Adaptive Network Based Fuzzy Inference Systems (ANFIS)



ANFIS is an adaptive network. An adaptive network is network of nodes and directional links. Associated with the network is a learning rule - for example back propagation. It s called adaptive because some, or all, of the nodes have parameters which affect the output of the node. These networks are learning a relationship between inputs and outputs.
Adaptive networks covers a number of different approaches but for our purposes we will investigate in some ....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 fuzzy based multilevel inverter thesis report ....etc

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