Posted by **ksveta6** at Dec. 21, 2014

2014 | ISBN: 0262019876 | English | 600 pages | PDF | 32 MB

Posted by **AlenMiler** at April 12, 2017

English | 9 Apr. 2017 | ASIN: B06Y5F38P3 | 238 Pages | PDF | 2.01 MB

Posted by **tanas.olesya** at Feb. 28, 2017

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

Posted by **AlenMiler** at Jan. 24, 2017

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.

Posted by **interes** at March 24, 2016

English | 2015 | ISBN: 3319262920 | 158 pages | PDF | 3,3 MB

Posted by **tanas.olesya** at Nov. 25, 2015

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

Posted by **lenami** at March 20, 2011

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.

Posted by **yurii1982** at April 22, 2010

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.

Posted by **Hrast** at May 16, 2007

Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications

9781852339487 | (1852339489) | Springer | 2005 | 3 MB | RS | FF

Posted by **AvaxGenius** at April 25, 2017

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.