Subcategories

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Posted By: AvaxGenius
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.

Advances in Feature Selection for Data and Pattern Recognition

Posted By: ksveta6
Advances in Feature Selection for Data and Pattern Recognition

Advances in Feature Selection for Data and Pattern Recognition (Intelligent Systems Reference Library) by Urszula Stańczyk,‎ Beata Zielosko,‎ Lakhmi C. Jain
2017 | ISBN: 3319675877 | English | 328 pages | PDF | 10 MB

Classification in BioApps: Automation of Decision Making

Posted By: AvaxGenius
Classification in BioApps: Automation of Decision Making

Classification in BioApps: Automation of Decision Making By Nilanjan Dey
English | PDF,EPUB | 2017 (2018 Edition) | 435 Pages | ISBN : 3319659804 | 22.31 MB

This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.

Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition

Posted By: First1
Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition

Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition by William Gropp,‎ Ewing Lusk,‎ Anthony Skjellum
English | November 12th, 1999 | ISBN: 0262256282, 0262571048 | 396 Pages | PDF | 6.98 MB

A tutorial on how to use Message-Passing Interface (MPI), the standard for communication subroutine libraries, to write parallel programs, particularly for large-scale applications. Covers background and basic concepts, MPI in C, using communicators, the Poisson problem, scalability, message passing, parallel libraries, and parallel I/O. Other topics include portability among MPP systems, use of MPI on workstation networks, and converting existing codes to MPI. Appendices list MPE multiprocessing environment functions. Annotation copyright Book News, Inc. Portland, Or.

Neural Information Processing

Posted By: AvaxGenius
Neural Information Processing

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V by Derong Liu
English | PDF | 2017 | 942 Pages | ISBN : 331970138X | 64.03 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Neural Information Processing

Posted By: AvaxGenius
Neural Information Processing

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part VI By Derong Liu
English | PDF | 2017 | 928 Pages | ISBN : 3319701355 | 101.12 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Neural Information Processing

Posted By: AvaxGenius
Neural Information Processing

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II By Derong Liu
English | PDF | 2017 | 941 Pages | ISBN : 3319700952 | 94.35 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constituts the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Neural Information Processing

Posted By: AvaxGenius
Neural Information Processing

Neural Information Processing : 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part IV By Derong Liu
English | PDF | 2017 | 911 Pages | ISBN : 3319700928 | 71.53 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Neural Information Processing

Posted By: AvaxGenius
Neural Information Processing

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part III By Derong Liu
English | PDF | 2017 | 953 Pages | ISBN : 3319700898 | 207.75 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Neural Information Processing

Posted By: AvaxGenius
Neural Information Processing

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part I By Derong Liu
English | PDF | 2017 | 951 Pages | ISBN : 3319700863 | 68.95 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.

Deep Learning with Keras

Posted By: First1
Deep Learning with Keras

Deep Learning with Keras by Antonio Gulli,‎ Sujit Pal
English | April 26th, 2017 | ASIN: B06Y2YMRDW, ISBN: 1787128423 | 332 Pages | EPUB | 38.85 MB

This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations.

Deep Learning with TensorFlow: Explore neural networks with Python

Posted By: First1
Deep Learning with TensorFlow: Explore neural networks with Python

Deep Learning with TensorFlow: Explore neural networks with Python by Giancarlo Zaccone, Md. Rezaul Karim, Ahmed Menshawy
English | April 24th, 2017 | ASIN: B01N2BAK7T, ISBN: 1786469782 | 370 Pages | EPUB | 6.20 MB

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

Posted By: First1
Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles

Neural Networks with R: Smart models using CNN, RNN, deep learning, and artificial intelligence principles by Giuseppe Ciaburro, Balaji Venkateswaran
English | October 11th, 2017 | ASIN: B0748NMHYL, ISBN: 1788397878 | 265 Pages | EPUB | 13.51 MB

This book is intended for anyone who has a statistical background with knowledge in R and wants to work with neural networks to get better results from complex data. If you are interested in artificial intelligence and deep learning and you want to level up, then this book is what you need!

Hierarchical Neural Networks for Image Interpretation (Repost)

Posted By: DZ123
Hierarchical Neural Networks for Image Interpretation (Repost)

Sven Behnke, "Hierarchical Neural Networks for Image Interpretation"
English | 2003 | ISBN: 3540407227 | PDF | pages: 244 | 7.6 mb

Decision Science: A Human-Oriented Perspective

Posted By: step778
Decision Science: A Human-Oriented Perspective

George Mengov, "Decision Science: A Human-Oriented Perspective"
2015 | pages: 170 | ISBN: 3662471213 | PDF | 3,1 mb