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Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (Premier Reference Source)
Intelligent Data Analysis: Developing New Methodologies Through Pattern Discovery and Recovery (Premier Reference Source)
Pattern Recognition has a long history of applications to data analysis in business, military and social economic activities. While the aim of pattern recognition is to discover the pattern of a data set, the size of the data set is closely related to the methodology one adopts for analysis. Intelligent Data Analysis: Developing New Methodologies...
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Studies in Computational Intelligence)
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition (Studies in Computational Intelligence)

We describe in this book, hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce...

Handbook of Multisensor Data Fusion
Handbook of Multisensor Data Fusion

Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical...

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information
Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information
This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and...
OpenGL Graphics Through Applications
OpenGL Graphics Through Applications
This book is the result of teaching computer graphics for one and two semester, year two/three undergraduate and postgraduate lecture courses in Computer Graphics. Throughout the book, theory is followed by implementation using C/C++ and complete programs are provided with suggestions for change to enhance student understanding. During 30 years of...
Robust Control Systems with Genetic Algorithms (Control Series)
Robust Control Systems with Genetic Algorithms (Control Series)

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization. The most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the optimization of symbolic codes.

Robust
...

Soft Computing for Information Processing and Analysis (Studies in Fuzziness and Soft Computing)
Soft Computing for Information Processing and Analysis (Studies in Fuzziness and Soft Computing)
Search engines, with Google at the top, have become the most heavily used online service, with millions of searches performed every day and many remarkable capabilities. Soft Computing for Information Processing and Analysis includes reports from the front of soft computing in the internet industry and imparts knowledge and...
TCP/IP Network Administration
TCP/IP Network Administration
This book is intended for everyone who has a UNIX computer connected to a TCP/IP network. This
obviously includes the network managers and the system administrators who are responsible for setting
up and running computers and networks, but it also includes any user who wants to understand how his
or her computer communicates with
...
Knowledge-Based Intelligent Techniques in Character Recognition
Knowledge-Based Intelligent Techniques in Character Recognition
Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field. This resource will interest anyone involved in computer science, computer engineering,...
Data Mining in Finance: Advances in Relational and Hybrid Methods
Data Mining in Finance: Advances in Relational and Hybrid Methods

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...

Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
While the weight of a structure constitutes a significant part of the cost, a minimum weight design is not necessarily the minimum cost design. Little attention in structural optimization has been paid to the cost optimization problem, particularly of realistic three-dimensional structures. Cost optimization is becoming a priority in all civil...
Optimal Models and Methods with Fuzzy Quantities
Optimal Models and Methods with Fuzzy Quantities

The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geometric Programming, Fuzzy Relative Equation and Its...

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