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Fuzzy Logic And Applications: Quick Start Guide

Fuzzy Logic And Applications: Quick Start Guide

Build The Skills You Need To Develop Fuzzy Logic System For Various Applications In MATLAB Tool Box. Join Us To Know More!

Overview

About Course:

Course is designed to understand concept of Fuzzy Logic & its implementation in MATLAB

Introduction:

Fuzzy Logic & ANN (Artificial Neural Network) are two most important tools of Artificial Intelligence & Machine Learning. This course is design to explain Fuzzy Logic Controller in most simplified way. Course flow is specially designed for quick start straight through applications & implementation. It mainly focuses on implementation of Fuzzy Logic with MATLAB toolbox and its interface in Simulink environment.

What's unique in this course?

Course contents & it’s flow are designed to understand concept of fuzzy logic in most simplified manner
It is designed and executed to get quick hands-on practices on various real life examples with MATLAB Fuzzy Logic Tool Box and its interface with Simulink.
Course is designed to cover all branches and filed including engineering & science, medical, finance, management and more.

Course Information

Knowledge of basic science and engineering will be benefited to understand the implementation of fuzzy logic in applications explains
However, person from any non technical field can understand what fuzzy logic is?, How it works? and how to use MATLAB for fuzzy logic system design

You will have clear idea about ‘what fuzzy logic is?’
You will be able to apply fuzzy logic to different applications of your relevant field
You will have skill to develop fuzzy logic system for various applications in MATLAB fuzzy logic tool box
You will be able to interface fuzzy logic system in MATLAB Simulink environment

Course is highly recommended to engineering UG/PG students of any branch to apply power of artificial intelligence and soft computing in your relevant field
Course will provide new area of research and publication possibilities for research scholars of various field
Course is recommended to all enthusiastic school students from age of 12 and above
Course is for all who are curious to understand soft computing, artificial intelligence and fuzzy logic system

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Course Specifications

Plan your future in engineering with courses including MSc Engineering Management.

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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