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Kalman Filtering and Neural Networks
Simon Haykin
[PDF.ls14] Kalman Filtering and Neural Networks
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| #2986940 in Books | 2001-10-08 | Original language:English | PDF # 1 | 9.67 x.76 x6.36l,1.20 | File type: PDF | 284 pages||8 of 8 people found the following review helpful.| very useful|By Keiichi Ito|This book is very coherent in its exposition of ideas and reads almost like an "authored" book. There are some redundancy in explanation of ideas by different authors, but proper references are made to other chapters in the book (that were written by other authors) for a complete explanation.
You can find a self contained explanation of Ext||"Although the traditional approach to the subject is usually linear, this book recognizes and deals with the fact that real problems are most often nonlinear." (SciTech Book News, Vol. 25, No. 4, December 2001)|From the Back
State-of-the-art coverage of Kalman filter methods for the design of neural networks
This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear.
The first chapter offers an introductory treatme...
You easily download any file type for your device.Kalman Filtering and Neural Networks | Simon Haykin.Not only was the story interesting, engaging and relatable, it also teaches lessons.
