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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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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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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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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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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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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