Average Reviews:
(More customer reviews)This book is excellent compehensive overwiev over many relevant topics that are useful in the wide spectrum of data analysis:
Starting with least squares - regression and its variants it comes to nonlinear local and global optimization techniques and even advanced neurofuzzy models.
This book is so precious because it explains and compares nearly all useful approaches, their advantages and disadvantages, including numerical and stastical arguments.
You can understand it without being a mathematician. But you should be familiar with the following expressions:
Gradient, Hessian, Inverse, Covariance Matrix, Estimator
Lots of useful details condensed into just one book!
Excellent!
Click Here to see more reviews about: Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models
0 comments:
Post a Comment