Distributed Algorithms For Message Passing Systems

Distributed Algorithms for Message-Passing Systems [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Aug. 11, 2015
Distributed Algorithms for Message-Passing Systems [Repost]

Michel Raynal - Distributed Algorithms for Message-Passing Systems
Published: 2013-06-29 | ISBN: 3642381227, 3642381243 | PDF | 500 pages | 6.47 MB

Distributed Algorithms for Message-Passing Systems (repost)  eBooks & eLearning

Posted by libr at Oct. 4, 2014
Distributed Algorithms for Message-Passing Systems (repost)

Distributed Algorithms for Message-Passing Systems by Michel Raynal
English | 2013 | ISBN-10: 3642381227 | 410 pages | PDF | 6,5 MB

Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities – such as processes, peers, processors, nodes, or agents – that individually have only a partial knowledge of the many input parameters associated with the problem.

Distributed Algorithms for Message-Passing Systems (repost)  eBooks & eLearning

Posted by interes at July 1, 2014
Distributed Algorithms for Message-Passing Systems (repost)

Distributed Algorithms for Message-Passing Systems by Michel Raynal
English | 2013 | ISBN-10: 3642381227 | 410 pages | PDF | 6,5 MB

Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities – such as processes, peers, processors, nodes, or agents – that individually have only a partial knowledge of the many input parameters associated with the problem.

Distributed Algorithms for Message-Passing Systems (Repost)  eBooks & eLearning

Posted by nebulae at Jan. 13, 2014
Distributed Algorithms for Message-Passing Systems (Repost)

Michel Raynal, "Distributed Algorithms for Message-Passing Systems"
English | 2013 | ISBN-10: 3642381227 | 410 pages | PDF | 6,5 MB

Distributed Algorithms for Message-Passing Systems  eBooks & eLearning

Posted by arundhati at Sept. 9, 2013
Distributed Algorithms for Message-Passing Systems

Michel Raynal, "Distributed Algorithms for Message-Passing Systems"
2013 | ISBN-10: 3642381227 | 410 pages | PDF | 6,5 MB

Distributed and Sequential Algorithms for Bioinformatics  eBooks & eLearning

Posted by ksveta6 at Feb. 19, 2017
Distributed and Sequential Algorithms for Bioinformatics

Distributed and Sequential Algorithms for Bioinformatics (Computational Biology) by K. Erciyes
2015 | ISBN: 3319249649 | English | 367 pages | EPUB | 4 MB

Numerical Methods for Ordinary Differential Systems: The Initial Value Problem  eBooks & eLearning

Posted by fdts at July 16, 2016
Numerical Methods for Ordinary Differential Systems: The Initial Value Problem

Numerical Methods for Ordinary Differential Systems: The Initial Value Problem
by J. D. Lambert
English | 1991 | ISBN: 0471929905 | 304 pages | PDF | 18.03 MB

Distributed and Sequential Algorithms for Bioinformatics  eBooks & eLearning

Posted by bookwyrm at Nov. 30, 2015
Distributed and Sequential Algorithms for Bioinformatics

Distributed and Sequential Algorithms for Bioinformatics By K. Erciyes
2015 | 388 Pages | ISBN: 3319249649 | PDF | 8 MB

Tools and Algorithms for the Construction and Analysis of Systems  eBooks & eLearning

Posted by DZ123 at Nov. 21, 2017
Tools and Algorithms for the Construction and Analysis of Systems

Michael R. Lowry, "Tools and Algorithms for the Construction and Analysis of Systems"
English | 2002 | ISBN: 3540434194 | PDF | pages: 495 | 3.4 mb
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction By Jesus Soto
English | PDF,EPUB | 2017 (2018 Edition) | 103 Pages | ISBN : 3319712632 | 9.15 MB

This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This book describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction. Interval type-2 and type-1 fuzzy systems are used to integrate the outputs of the Ensemble of Interval Type-2 Fuzzy Neural Network models. Genetic Algorithms and Particle Swarm Optimization are the Bio-Inspired algorithms used for the optimization of the fuzzy response integrators.