Recurrent Neural Networks for Prediction
Download or Read eBook Recurrent Neural Networks for Prediction PDF written by Danilo Mandic and published by . This book was released on 2003 with total page 297 pages. Available in PDF, EPUB and Kindle.
Author | : Danilo Mandic |
Publisher | : |
Total Pages | : 297 |
Release | : 2003 |
ISBN-10 | : OCLC:1027204835 |
ISBN-13 | : |
Rating | : 4/5 (35 Downloads) |
Book Synopsis Recurrent Neural Networks for Prediction by : Danilo Mandic
Book excerpt: New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) can be implemented to expand the range of traditional signal processing techniques and to help combat the problem of prediction. Within this text neural networks are considered as massively interconnected nonlinear adaptive filters.? Analyses the relationships between RNNs and various nonlinear models and filters, and introduces spatio-temporal architectur.