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

Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex sys

Annotation This book constitutes the refereed proceedings of the 11th International Conference on Neural Information Processing, ICONIP 2004, held in Calcutta,

A groundbreaking book from Simon Haykin, setting out the fundamental ideas and highlighting a range of future research directions.

The definitive textbook and professional reference on Kalman Filtering – fully updated, revised, and expanded This book contains the latest developments in th