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 **leonardo78** at Feb. 8, 2016

Publisher: Wiley-Interscience | 2000 | ISBN: 047136164X | 483 pages | PDF (scan) | 19,7 MB

A Course in Time Series Analysis demonstrates how to build time series models for univariate and multivariate time series data. It brings together material previously available only in the professional literature and presents a unified view of the most advanced procedures available for time series model building.

Posted by **libr** at Feb. 4, 2016

English | ISBN: 1420094602 | 2012 | 574 pages | PDF | 8,3 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 **ChrisRedfield** at May 12, 2015

Published: 2012-01-26 | ISBN: 1420094602 | PDF | 574 pages | 8.31 MB

Posted by **interes** at July 13, 2014

English | ISBN: 1420094602 | 2012 | 574 pages | PDF | 8,3 MB

Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to 100 dimensional) and fMRI (140,000 dimensional) data. To analyze such massive data, efficient computational and statistical methods are required.