Recurrent Neural Networks for Prediction
Author | : Danilo P. Mandic |
Publisher | : |
Total Pages | : 318 |
Release | : 2001 |
ISBN-10 | : UOM:39015053096650 |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Book Synopsis Recurrent Neural Networks for Prediction by : Danilo P. Mandic
Download or read book Recurrent Neural Networks for Prediction written by Danilo P. Mandic and published by . This book was released on 2001 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks consist of interconnected groups of neurons which function as processing units. Through the application of neural networks, the capabilities of conventional digital signal processing techniques can be significantly enhanced.