Neural Networks Discrete

Convolutional Neural Networks in Visual Computing : A Concise Guide  eBooks & eLearning

Posted by readerXXI at Jan. 12, 2018
Convolutional Neural Networks in Visual Computing : A Concise Guide

Convolutional Neural Networks in Visual Computing :
A Concise Guide

by Ragav Venkatesan and Baoxin Li
English | 2018 | ISBN: 1498770398 | 187 Pages | PDF | 5.85 MB
Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis

Recurrent Neural Networks for Short-Term Load Forecasting: An Overview and Comparative Analysis by Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen
English | 2017 | ISBN: 3319703374 | 72 Pages | PDF | 5.6 MB

The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system.

Artificial Neural Networks and Machine Learning – ICANN 2017, Part II  eBooks & eLearning

Posted by Jeembo at Jan. 10, 2018
Artificial Neural Networks and Machine Learning – ICANN 2017, Part II

Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
English | 2017 | ISBN: 3319686119 | 801 Pages | PDF | 96.4 MB

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017.

Artificial Neural Networks and Machine Learning – ICANN 2017, Part I  eBooks & eLearning

Posted by Jeembo at Jan. 10, 2018
Artificial Neural Networks and Machine Learning – ICANN 2017, Part I

Artificial Neural Networks and Machine Learning – ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part I by Alessandra Lintas, Stefano Rovetta, Paul F.M.J. Verschure, Alessandro E.P. Villa
English | 2017 | ISBN: 3319685996 | 469 Pages | PDF | 125.8 MB

The two volume set, LNCS 10613 and 10614, constitutes the proceedings of then 26th International Conference on Artificial Neural Networks, ICANN 2017, held in Alghero, Italy, in September 2017.

Advances in Neural Networks  eBooks & eLearning

Posted by tanas.olesya at Jan. 9, 2018
Advances in Neural Networks

Advances in Neural Networks (Lecture Notes in Computer Science) by Wen Yu
English | 8 May 2009 | ISBN: 3642015123 | 1277 Pages | PDF | 58 MB
Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) (Repost)

Supervised Sequence Labelling with Recurrent Neural Networks (Studies in Computational Intelligence) By Alex Graves
2012 | 160 Pages | ISBN: 3642247962 | PDF | 2 MB

Blind Equalization in Neural Networks  eBooks & eLearning

Posted by Underaglassmoon at Jan. 2, 2018
Blind Equalization in Neural Networks

Blind Equalization in Neural Networks: Theory, Algorithms and Applications
De Gruyter | English | 2018 | ISBN-10: 3110449625 | 210 pages | PDF | 5.90 mb

by Liyi Zhang (Author),‎ Tsinghua University Press (Contributor)

An Introduction to Neural Networks  eBooks & eLearning

Posted by lengen at Dec. 24, 2017
An Introduction to Neural Networks

An Introduction to Neural Networks by Kevin Gurney
English | Aug. 7, 1997 | ISBN: 1857285034 | 317 Pages | PDF | 4 MB

Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.

Bayesian Learning for Neural Networks (Lecture Notes in Statistics)  eBooks & eLearning

Posted by lengen at Dec. 24, 2017
Bayesian Learning for Neural Networks (Lecture Notes in Statistics)

Bayesian Learning for Neural Networks (Lecture Notes in Statistics) by Radford M. Neal
English | Aug. 9, 1996 | ISBN: 0387947248 | 195 Pages | PDF | 2 MB

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models can be safely exploited when training data is limited. This book demonstrates how Bayesian methods allow complex neural network models to be used without fear of the "overfitting" that can occur with traditional training methods.

Neural Networks for Pattern Recognition  eBooks & eLearning

Posted by lengen at Dec. 24, 2017
Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback)) by Christopher M. Bishop
English | Jan. 18, 1996 | ISBN: 0198538642 | 498 Pages | PDF | 22 MB

This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models.