Learn IT - Books tags fuzzy

Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness

Apress, 2018

Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and...

Unity 2017 Game AI Programming - Third Edition: Leverage the power of Artificial Intelligence to program smart entities for your games

Packt Publishing, 2018

Use Unity 2017 to create fun and unbelievable AI entities in your games with A*, Fuzzy logic and NavMesh

Key Features

Explore the brand-new Unity 2017 features that makes implementing Artificial Intelligence in your game easier than ever

Use fuzzy logic concepts in your AI...

Troubleshooting PostgreSQL

Packt Publishing, 2015

Intercept problems and challenges typically faced by PostgreSQL database administrators with the best troubleshooting techniques

About This Book

Detect and solve performance, indexing, and fuzzy matches problems and more in an effective way

Tune PostgreSQL databases and remove bottlenecks...

Fundamental Approach to Discrete Mathematics

New Age Publications, 2009

The salient features of this book include: strong coverage of key topics involving recurrence relation, combinatorics, Boolean algebra, graph theory and fuzzy set theory. Algorithms and examples integrated throughout the book to bring clarity to the fundamental concepts. Each concept and definition is followed by thoughtful examples. There is...

Real-Time Volume Graphics

AK Peter, 2006

IN TRADITIONAL COMPUTER GRAPHICS, 3D objects are created using highlevel surface representations such as polygonal meshes, NURBS (nonuniform rational B-spline) patches, or subdivision surfaces. Using this modeling paradigm, visual properties of surfaces, such as color, roughness, and reflectance, are described by means of a shading...

Assessing and Improving Prediction and Classification: Theory and Algorithms in C++

Apress, 2017

Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building...

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications

CRC Press, 1998

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for...

Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

John Wiley & Sons, 2011

Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Computer-Aided Intelligent Recognition Techniques and Applications

John Wiley & Sons, 2005

Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification.

...

Fuzzy Equational Logic (Studies in Fuzziness and Soft Computing)

Springer, 2005

The present book deals with algebras, congruences, morphisms, reasoning about identities, classes of algebras and their axiomatizability, etc., from the point of view of fuzzy logic. We therefore deal with topics traditionally studied in universal algebra. Our approach is the following. In classical universal algebra, one works in bivalent setting....

Data Modeling for Metrology and Testing in Measurement Science

Birkhauser, 2008

This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science. Mainstream methods of data modeling and analysis...

Fuzzy Algorithms for Control (International Series in Intelligent Technologies)

Springer, 1999

Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts.

Chapters in the first part address the position of fuzzy systems in control...

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