Algorithm Epub

Jaya: An Advanced Optimization Algorithm and its Engineering Applications  eBooks & eLearning

Posted by AvaxGenius at June 9, 2018
Jaya: An Advanced Optimization Algorithm and its Engineering Applications

Jaya: An Advanced Optimization Algorithm and its Engineering Applications by Ravipudi Venkata Rao
English | PDF,EPUB | 2018 (2019 Edition) | 345 Pages | ISBN : 331978921X | 8.36 MB

This book introduces readers to the “Jaya” algorithm, an advanced optimization technique that can be applied to many physical and engineering systems. It describes the algorithm, discusses its differences with other advanced optimization techniques, and examines the applications of versions of the algorithm in mechanical, thermal, manufacturing, electrical, computer, civil and structural engineering.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos
English | 22 Sept. 2015 | ISBN: 0241004543 | 352 Pages | EPUB | 2.26 MB
Tag Counting and Monitoring in Large-Scale RFID Systems: Theoretical Foundations and Algorithm Design

Tag Counting and Monitoring in Large-Scale RFID Systems: Theoretical Foundations and Algorithm Design By Jihong Yu
English | PDF,EPUB | 2018 (2019 Edition) | 142 Pages | ISBN : 3319919911 | 8.85 MB

This book provides a comprehensive treatment of the theoretical foundation and algorithmic tools necessary in the design of efficient tag counting and monitoring algorithms in emerging RFID systems. The book delivers an in-depth analysis on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: Stability analysis of the frame slotted Aloha protocol, the de facto standard in RFID tag counting and identification; Tag population estimation in dynamic RFID systems; Missing tag event detection in the presence of unexpected tags; Missing tag event detection in multi-group multi-region RFID systems. The target readers are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on RFID systems and their applications.

The Connection Algorithm: Take Risks, Defy the Status Quo, and Live Your Passions  eBooks & eLearning

Posted by ksveta6 at April 25, 2018
The Connection Algorithm: Take Risks, Defy the Status Quo, and Live Your Passions

The Connection Algorithm: Take Risks, Defy the Status Quo, and Live Your Passions by Jesse Warren Tevelow
2015 | ISBN: 0692509704, 0692391762 | English | 256 pages | EPUB | 0.4 MB

AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing  eBooks & eLearning

Posted by arundhati at April 18, 2018
AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing

Ricardo Lourenço and Nuno Lourenço, "AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing"
2015 | ISBN-10: 3319159542 | 64 pages | EPUB | 2 MB

Sliding Window Algorithm for Mobile Communication Networks  eBooks & eLearning

Posted by AvaxGenius at March 12, 2018
Sliding Window Algorithm for Mobile Communication Networks

Sliding Window Algorithm for Mobile Communication Networks By Nuka Mallikharjuna Rao
English | PDF,EPUB | 2018 | 106 Pages | ISBN : 9811084726 | 5.79 MB

This book offers a broad overview of mobile communications and its databases, focusing on the processes and methods used in mobile communication networks. Drawing upon the insights of leading researchers, the book’s main focus is on the sliding window algorithm. In addition, the book discusses queuing theory concepts for measuring the realistic throughput and performance of mobile switching centers in global system for mobile communications (GSM) networks by applying the sliding window algorithm. Practical case studies, a full set of easy-to-access supplements, and extensive web resources make reading, learning about and teaching mobile communications easier than ever.
Teaching Learning Based Optimization Algorithm: And Its Engineering Applications

Teaching Learning Based Optimization Algorithm: And Its Engineering Applications by R. Venkata Rao
English | 29 Nov. 2015 | ISBN: 3319227319 | 302 Pages | EPUB | 2.52 MB
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic By Jonathan Amezcua
English | PDF,EPUB | 2018 | 78 Pages | ISBN : 3319737724 | 3.75 MB

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector.

Is Intelligence an Algorithm?  eBooks & eLearning

Posted by First1 at Jan. 26, 2018
Is Intelligence an Algorithm?

Is Intelligence an Algorithm? by Antonin Tuynman
English | January 26th, 2018 | ASIN: B078KJNFVL, ISBN: 1785356704 | 184 pages | EPUB | 2.67 MB

How do we understand the world around us? How do we solve problems? Often the answer to these questions follows a certain pattern, an algorithm if you wish. This is the case when our analytical left-brain side is at work. However, there are also elements in our behaviour where intelligence appears to follow a more elusive path, which cannot easily be characterised as a specific sequence of steps.

BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems  eBooks & eLearning

Posted by AvaxGenius at Jan. 15, 2018
BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems

BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems By Urmila Diwekar
English | EPUB | 2015 | 146 Pages | ISBN : 1493922815 | 2.11 MB

This book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to obtain probability information is demonstrated in this book. Stochastic optimization problems are difficult to solve since they involve dealing with optimization and uncertainty loops.