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

A Course in Time Series Analysis  eBooks & eLearning

Posted by leonardo78 at Feb. 8, 2016
A Course in Time Series Analysis

A Course in Time Series Analysis by Daniel Peña, George C. Tiao, Ruey S. Tsay
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.

Time Series Modeling of Neuroscience Data (repost)  eBooks & eLearning

Posted by libr at Feb. 4, 2016
Time Series Modeling of Neuroscience Data (repost)

Time Series Modeling of Neuroscience Data by Tohru Ozaki
English | ISBN: 1420094602 | 2012 | 574 pages | PDF | 8,3 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

Time Series Modeling of Neuroscience Data [Repost]  eBooks & eLearning

Posted by ChrisRedfield at May 12, 2015
Time Series Modeling of Neuroscience Data [Repost]

Tohru Ozaki - Time Series Modeling of Neuroscience Data
Published: 2012-01-26 | ISBN: 1420094602 | PDF | 574 pages | 8.31 MB

Time Series Modeling of Neuroscience (repost)  eBooks & eLearning

Posted by interes at July 13, 2014
Time Series Modeling of Neuroscience (repost)

Time Series Modeling of Neuroscience Data by Tohru Ozaki
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.