Why you should learn Fuzzy Logic?
Glad you asked. Fuzzy Logic is a one of the key areas of Artificial Intelligence. Fuzzy logic has been used in numerous applications such as facial pattern recognition, air conditioners, washing machines, vacuum clearers, anti-skid braking systems, transmission systems, control of subway systems and unmanned helicopters, knowledge-based systems for multi-objective optimization of power systems, weather forecasting systems, models for new product pricing or project risk assessment, medical diagnosis and treatment plans, and stock trading. Today, Fuzzy Logic is an essential part of control systems engineering, image processing, power engineering, robotics and effective optimization. This Fuzzy Logic course is considered to be the most comprehensive training ever produced on this topic and is an excellent source for everyone who are interested to learn Fuzzy Logic from scratch. Best part, we also provide you with all the source codes and simulation files so you could use and modify them for your engineering projects.
Just getting started in fuzzy logic and artificial intelligence?
Did you just get started with Fuzzy Logic ? That is great. This course starts with the basics of Fuzzy Logic. In no time, you find yourself working on real world projects and examples. There are lot of quizzes, assignments and projects in this course and prepares you to take on complicated engineering tasks with ease. This course is designed around practicality, and our main focus is on implementing real world projects. However, we will start with gentle introduction of the Fuzzy Logic and review its mathematical properties that makes the fundamentals of this topic. You will learn Fuzzy Logic programming with Matlab and will be a seasoned Fuzzy Logic expert in no time.
Are you a professional Fuzzy Logic Programmer? This training is not only for beginners. There are lots of advanced topics covered as well. For example, we show you how to design and develop a fully functional Fuzzy Controller for a Fluidized Catalytic Cracking Unit also known as FCCU which is notorious for its complexity and dynamic state. We will demonstrate how you can develop and efficient design plan and blueprint that you can apply to your complex problem and get successful results.
A Comprehensive Tutorial on Fuzzy Logic with Matlab & Simulink
A practical introduction to Fuzzy Logic course is the most comprehensive Fuzzy Logic tutorial on the Internet. We have spent over 1.5 years developing the contents and the projects for this course. After you graduate from this course, you will be confident in design and programming a Fuzzy controller for your projects. You will be among the few that know this valuable engineering skill.
Inside this Fuzzy Logic Tutorial, you will find:
Introduction to Fuzzy Logic Science
Fuzzy Sets & Classical Sets
Fuzzy Membership Functions
Matlab & Simulink Fuzzy Toolbox
Fuzzy Controller in Matlab
Fuzzy Inference Systems
Adaptive Neuro-Fuzzy Modeling
Fuzzy Tipping Problem Explained
Fuzzy Controller Design for an FCCU Unit
Use Matlab Fuzzy Inference Engine to Solve Real World Problems
There are various engineering tools and simulation software that enable researchers and students alike to tap into the world of Fuzzy Logic. There are even expensive industrial level simulation suites that are designed for Fuzzy Control Systems. In this course, we choose Matlab & Simulink suite that has Fuzzy Logic Toolbox and therefore students can practice fuzzy logic programming on their machines without the need to invest in expensive tools.
Some of the skills you will learn in this course
+ What are the prerequisites for this course?
You don't need to have any background in programming. But if you have Matlab programming expereince, that would help you to move faster. If you do need a Matlab programming course for beginners, you can check our Matlab course in the Library.
+ How do I get my certificate?
If you have purchased the course either, one time payment, or through subscription, you will receive the certificate once you complete the course with all quizzes and assigments. If you want to simply take the exam and pass, you can buy the certification exam pass. Then you can try passing the exam for unlimtied number of times. Once you complete the exam successfully, then you will receive the certificate.
+ Do I need apecial software or tool for this course?
You need to have Matlab programming with Fuzzy Logic toolbox installed on your computer.
+ What if I don't like this course?
You will be eligible for a full refund within 7 days. However, your certificate will not be issued or renewed in case you have cancelled your subscription.
+ Do you provide class notes, program codes or slides for download?
Yes ! you can download all course contents with a valid subscription.
Hossein tootoonchy is an entrepreneurial Executive with over 10 years of experience in delivering high-level profit-driven execution supporting broad operational and technical goals. Hossein has a Master in Control & Instrumentation engineering and has used Fuzzy Logic extensively in the past. His work in this space has been published as a book by Springer in 2014. In this course hossein will start teaching fundamentals of fuzzy logic using Matlab programming suite.
Get Certified in Fuzzy Logic Engineering
Course Keywords & Tags:
Fuzzy Logic, Fuzzy Programming, Fuzzy Logic Engineering, fuzzy logic examples, fuzzy logic tutorial, fuzzy logic Matlab example, fuzzy logic controller Matlab, fuzzy logic tools, fuzzy logic Matlab projects, fuzzy logic simulink, fuzzy membership function Matlab, fuzzy logic definition, what is fuzzy set, crisp logic, fuzzy logic Matlab code example, fuzzy logic source code Matlab, fuzzy logic Matlab projects, fuzzy logic toolbox Matlab pdf, fuzzy logic software open source, fuzzy simulink example, fuzzy controller Matlab example