Posted by **AvaxGenius** at Feb. 15, 2018

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.

Posted by **First1** at Jan. 26, 2018

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.

Posted by **AvaxGenius** at Jan. 15, 2018

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.

Posted by **AvaxGenius** at Jan. 14, 2018

English | PDF | 2008 | 702 Pages | ISBN : 1848001800 | 26.81 MB

Network models are critical tools in business, management, science and industry. Network Models and Optimization: Multiobjective Genetic Algorithm Approach presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing.

Posted by **insetes** at Jan. 5, 2018

2013 | 347 Pages | ISBN: 9400751516 | PDF | 4 MB

Posted by **insetes** at Dec. 27, 2017

2014 | 302 Pages | ISBN: 9401790744 | PDF | 13 MB

Posted by **insetes** at Dec. 26, 2017

2014 | 88 Pages | ISBN: 3319052446 | PDF | 2 MB

Posted by **hill0** at Dec. 9, 2017

English | 2011 | ISBN: 9789533075464 | 714 Pages | PDF | 40.19 MB

Posted by **First1** at Dec. 5, 2017

English | August 11th, 2017 | ASIN: B074TX351D, ISBN: 0262036630 | 306 pages | AZW3 | 1.70 MB

Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture.

Posted by **lengen** at Nov. 24, 2017

English | Apr. 8, 2016 | ISBN: 1680831143 | 150 Pages | PDF | 3 MB

Communication Complexity (for Algorithm Designers) collects the lecture notes from the author's eponymous course taught at Stanford in the winter quarter of 2015. The two primary goals of the text are: (1) Learn several canonical problems in communication complexity that are useful for proving lower bounds for algorithms (Disjointness, Index, Gap-Hamming, and so on). (2) Learn how to reduce lower bounds for fundamental algorithmic problems to communication complexity lower bounds.