Neural Time Series

Analyzing Neural Time Series Data: Theory and Practice  eBooks & eLearning

Posted by ksveta6 at Dec. 21, 2014
Analyzing Neural Time Series Data: Theory and Practice

Analyzing Neural Time Series Data: Theory and Practice (Issues in Clinical and Cognitive Neuropsychology) by Mike X Cohen
2014 | ISBN: 0262019876 | English | 600 pages | PDF | 32 MB
Neural Networks for Time Series Forecasting with R: An Intuitive Step by Step Blueprint for Beginners

Neural Networks for Time Series Forecasting with R: An Intuitive Step by Step Blueprint for Beginners by N.D Lewis
English | 9 Apr. 2017 | ASIN: B06Y5F38P3 | 238 Pages | PDF | 2.01 MB

Neural Networks and Sea Time Series [Repost]  eBooks & eLearning

Posted by tanas.olesya at Feb. 28, 2017
Neural Networks and Sea Time Series [Repost]

Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis by Brunello Tirozzi
English | 19 Dec. 2005 | ISBN: 0817643478 | 159 Pages | PDF | 2 MB

Devoted to the application of neural networks to the concrete problem of time series of sea data. Good reference for a diverse audience of grad students, researchers, and practitioners in applied mathematics, data analysis, meteorlogy, hydraulic, civil and marine engineering

Deep Time Series Forecasting with Python  eBooks & eLearning

Posted by AlenMiler at Jan. 24, 2017
Deep Time Series Forecasting with Python

Deep Time Series Forecasting with Python: An Intuitive Introduction to Deep Learning for Applied Time Series Modeling by N D Lewis
English | 11 Dec. 2016 | ISBN: 1540809080 | 212 Pages | PDF (True) | 1.58 MB

Master Deep Time Series Forecasting with Python! Deep Time Series Forecasting with Python takes you on a gentle, fun and unhurried practical journey to creating deep neural network models for time series forecasting with Python.
Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques

Applications of Soft Computing in Time Series Forecasting: Simulation and Modeling Techniques (Studies in Fuzziness and Soft Computing) by Pritpal Singh
English | 2015 | ISBN: 3319262920 | 158 pages | PDF | 3,3 MB

Neural Networks and Sea Time Series [Repost]  eBooks & eLearning

Posted by tanas.olesya at Nov. 25, 2015
Neural Networks and Sea Time Series [Repost]

Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis by Brunello Tirozzi
English | 19 Dec. 2005 | ISBN: 0817643478 | 159 Pages | PDF | 12 MB

Devoted to the application of neural networks to the concrete problem of time series of sea data. Good reference for a diverse audience of grad students, researchers, and practitioners in applied mathematics, data analysis, meteorlogy, hydraulic, civil and marine engineering
Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis (Repost)

Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis
Publisher: Birkhäuser Boston | ISBN: 0817643478 | edition 2005 | PDF | 159 pages | 11,3 mb

Increasingly, neural networks are used and implemented in a wide range of fields and have become useful tools in probabilistic analysis and prediction theory. This bookunique in the literaturestudies the application of neural networks to the analysis of time series of sea data, namely significant wave heights and sea levels. The particular problem examined as a starting point is the reconstruction of missing data, a general problem that appears in many cases of data analysis.
Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis (Repost)

Neural Networks and Sea Time Series: Reconstruction and Extreme-Event Analysis
Publisher: Birkhäuser Boston | ISBN: 0817643478 | edition 2005 | PDF | 159 pages | 11,3 mb

Increasingly, neural networks are used and implemented in a wide range of fields and have become useful tools in probabilistic analysis and prediction theory. This bookunique in the literaturestudies the application of neural networks to the analysis of time series of sea data, namely significant wave heights and sea levels. The particular problem examined as a starting point is the reconstruction of missing data, a general problem that appears in many cases of data analysis.
Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications
9781852339487 | (1852339489) | Springer | 2005 | 3 MB | RS | FF

Time Series Analysis and Its Applications: With R Examples, Fourth Edition  eBooks & eLearning

Posted by AvaxGenius at April 25, 2017
Time Series Analysis and Its Applications: With R Examples, Fourth Edition

Time Series Analysis and Its Applications: With R Examples, Fourth Edition By Robert H. Shumway, David S. Stoffer
English | PDF | 2017 | 567 Pages | ISBN : 3319524518 | 16.84 MB

The fourth edition of this popular graduate textbook, like its predecessors, presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception experiments using functional magnetic resonance imaging, and monitoring a nuclear test ban treaty.