Author Haykin, Simon Additional authorUnknown Publisher John Wiley & Sons, Inc (New York, 2001) Language(eng) English ISBN0471369985 SeriesUnknown EditionUnknown SubjectKALMAN FILTERING; NoteUnknown AbstractState-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 treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter.

Number of pagesxiii, 284 p. Dimension24 cm. Other descriptionill.