Recurrent Neural Networks for Prediction 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Recurrent Neural Networks for Prediction

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Mandic, Danilo P./ Chambers, Jonathon A. 作者
John Wiley & Sons Inc
譯者
2001-9 出版日期
308 頁數
1042.00 元 價格
HRD
叢書系列
9780471495178 圖書編碼

Recurrent Neural Networks for Prediction 在線電子書 圖書標籤: 機器學習  神經網絡   


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Recurrent Neural Networks for Prediction 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Recurrent Neural Networks for Prediction 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Recurrent Neural Networks for Prediction 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



Recurrent Neural Networks for Prediction 在線電子書 用戶評價

評分

當年RNN還沒熱起來,所以寫的特彆樸實

評分

當年RNN還沒熱起來,所以寫的特彆樸實

評分

當年RNN還沒熱起來,所以寫的特彆樸實

評分

當年RNN還沒熱起來,所以寫的特彆樸實

評分

當年RNN還沒熱起來,所以寫的特彆樸實

Recurrent Neural Networks for Prediction 在線電子書 著者簡介


Recurrent Neural Networks for Prediction 在線電子書 著者簡介


Recurrent Neural Networks for Prediction 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Recurrent Neural Networks for Prediction 在線電子書 圖書描述

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 architectures together with the concepts of modularity and nesting ? Examines stability and relaxation within RNNs ? Presents on--line learning algorithms for nonlinear adaptive filters and introduces new paradigms which exploit the concepts of a priori and a posteriori errors, data--reusing adaptation, and normalisation ? Studies convergence and stability of on--line learning algorithms based upon optimisation techniques such as contraction mapping and fixed point iteration ? Describes strategies for the exploitation of inherent relationships between parameters in RNNs ? Discusses practical issues such as predictability and nonlinearity detecting and includes several practical applications in areas such as air pollutant modelling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing Recurrent Neural Networks for Prediction offers a new insight into the learning algorithms, architectures and stability of recurrent neural networks and, consequently, will have instant appeal. It provides an extensive background for researchers, academics and postgraduates enabling them to apply such networks in new applications. VISIT OUR COMMUNICATIONS TECHNOLOGY WEBSITE! http://www.wiley.co.uk/commstech/ VISIT OUR WEB PAGE! http://www.wiley.co.uk/

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