By Erdal Kayacan,Mojtaba Ahmadieh Khanesar
AN essential source FOR ALL those that layout AND enforce TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN genuine TIME SYSTEMS
Delve into the type-2 fuzzy good judgment structures and turn into engrossed within the parameter replace algorithms for type-1 and type-2 fuzzy neural networks and their balance research with this book!
Not simply does this e-book stand except others in its concentration but additionally in its application-based presentation variety. ready in a fashion that may be simply understood via those who find themselves skilled and green during this box. Readers can enjoy the computing device resource codes for either id and keep watch over reasons that are given on the finish of the book.
A transparent and an in-depth exam has been made from all of the invaluable mathematical foundations, type-1 and type-2 fuzzy neural community constructions and their studying algorithms in addition to their balance research.
You will locate that every bankruptcy is dedicated to another studying set of rules for the tuning of type-1 and type-2 fuzzy neural networks; a few of which are:
• Gradient descent
• prolonged Kalman filter
In addition to the aforementioned traditional studying equipment above, variety of novel sliding mode regulate theory-based studying algorithms, that are less complicated and feature closed kinds, and their balance research were proposed. in addition, hybrid equipment which include particle swarm optimization and sliding mode keep watch over theory-based algorithms have additionally been introduced.
The power readers of this e-book are anticipated to be the undergraduate and graduate scholars, engineers, mathematicians and laptop scientists. not just can this ebook be used as a reference resource for a scientist who's attracted to fuzzy neural networks and their real-time implementations but additionally as a direction booklet of fuzzy neural networks or synthetic intelligence in grasp or doctorate college reports. we are hoping that this e-book will serve its major goal successfully.
- Parameter replace algorithms for type-1 and type-2 fuzzy neural networks and their balance analysis
- Contains algorithms which are acceptable to genuine time systems
- Introduces speedy and straightforward edition principles for type-1 and type-2 fuzzy neural networks
- Number of case reviews either in id and control
- Provides MATLAB® codes for a few algorithms within the book
Read or Download Fuzzy Neural Networks for Real Time Control Applications: Concepts, Modeling and Algorithms for Fast Learning PDF
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