
Soft computing based system modeling & control
Meena Tushir(Author)
LAP Lambert Academic Publishing
Published on 18. January 2016
Book
Paperback/Softback
96 pages
978-3-659-82366-4 (ISBN)
Description
Several clustering algorithms have been explained in the book including kernel based clustering algorithm. A kernel based clustering incorporates a kernel metric in place of the Euclidean distance used in the objective function. The kernel induced metric maps the data points to a high dimensional feature space, in which the data is more clearly separable, thereby increasing the accuracy of the proposed clustering technique. A fuzzy controller can also be designed using the clustering based approach. Clustering-based rule extraction methods help avoid combinatorial explosion of rules with increasing dimension of the input space. Also, because clustering step provides good initial rule parameter values, the subsequent rule parameter optimization process usually converges quickly and to a good solution.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 6 mm
Weight
161 gr
ISBN-13
978-3-659-82366-4 (9783659823664)
Schweitzer Classification
Person
Dr Meena Tushir has been working with the Department of Electrical & Electronics Engineering, MSIT, New Delhi, India since 2003 where she is currently holds the position of Associate Professor. Her current research interests include neural networks, fuzzy logic, modelling, identification, and control of non-linear systems.