Recurrent Neural Networks for Prediction

Recurrent Neural Networks for Prediction
Author :
Publisher :
Total Pages : 297
Release :
ISBN-10 : OCLC:1027204835
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Recurrent Neural Networks for Prediction by : Danilo Mandic

Download or read book Recurrent Neural Networks for Prediction written by Danilo Mandic and published by . This book was released on 2003 with total page 297 pages. Available in PDF, EPUB and Kindle. 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.


Recurrent Neural Networks for Prediction Related Books

Recurrent Neural Networks for Prediction
Language: en
Pages: 297
Authors: Danilo Mandic
Categories:
Type: BOOK - Published: 2003 - Publisher:

DOWNLOAD EBOOK

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest resea
Recurrent Neural Networks for Short-Term Load Forecasting
Language: en
Pages: 74
Authors: Filippo Maria Bianchi
Categories: Computers
Type: BOOK - Published: 2017-11-09 - Publisher: Springer

DOWNLOAD EBOOK

The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both serv
Grokking Machine Learning
Language: en
Pages: 510
Authors: Luis Serrano
Categories: Computers
Type: BOOK - Published: 2021-12-14 - Publisher: Simon and Schuster

DOWNLOAD EBOOK

Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon
Recurrent Neural Networks
Language: en
Pages: 426
Authors: Amit Kumar Tyagi
Categories: Computers
Type: BOOK - Published: 2022-08-08 - Publisher: CRC Press

DOWNLOAD EBOOK

The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neur
Deep Learning for Time Series Forecasting
Language: en
Pages: 572
Authors: Jason Brownlee
Categories: Computers
Type: BOOK - Published: 2018-08-30 - Publisher: Machine Learning Mastery

DOWNLOAD EBOOK

Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of te