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Applied Fuzzy Arithmetic: An Introduction with Engineering Applications
Applied Fuzzy Arithmetic: An Introduction with Engineering Applications

Applied Fuzzy Arithmetic provides a well-structured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences, making it a resource for students, researchers, and practical engineers. The first part of the book gives an introduction...

Computer Systems, Support, and Technology (Computer Science, Technology and Applications)
Computer Systems, Support, and Technology (Computer Science, Technology and Applications)
This book presents and discusses research in the study of computer science. Topics discussed include fuzzy logic in molecular computing; mobile database computing; learning methods for spam filtering; heterogeneous systems; nested relational database systems; advanced array processing techniques and systems and swarm intelligence....
Soft Computing for Business Intelligence (Studies in Computational Intelligence)
Soft Computing for Business Intelligence (Studies in Computational Intelligence)

The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.

It contains twenty-seven papers allocated to three sections: Soft Computing, Business...

Fuzzy Expert Systems and Fuzzy Reasoning
Fuzzy Expert Systems and Fuzzy Reasoning
The most advanced systems that can emulate human thought

Fuzzy Expert Systems and Fuzzy Reasoning presents new, cutting-edge theories that enable programmers to emulate human thought processes to solve real-life problems. This text begins with an overview and comparison of current approaches, including rule-based and neural net systems that...

Control Problems in Robotics and Automation (Lecture Notes in Control and Information Sciences)
Control Problems in Robotics and Automation (Lecture Notes in Control and Information Sciences)

Focusing on the important control problems in state-of-the-art robotics and automation, this volume features invited papers from a workshop held at CDC, San Diego, California. As well as looking at current problems, it aims to identify and discuss challenging issues that are yet to be solved but which will be vital to future research...

Nonlinear Digital Filters: Analysis and Applications
Nonlinear Digital Filters: Analysis and Applications
This book provides an easy to understand overview of nonlinear behavior in digital filters, showing how it can be utilized or avoided when operating nonlinear digital filters. It gives techniques for analyzing discrete-time systems with discontinuous linearity, enabling the analysis of other nonlinear discrete-time systems, such as sigma delta...
Kalman Filter Recent Advances and Applications
Kalman Filter Recent Advances and Applications
The discussion about the manned spacecraft program was initiated at NASA in 1959. Only one year later, Dr. Kalman and Dr. Schmidt linked the linear Kalman filter and the perturbation theory in order to obtain the Kalman-Schmidt filter, currently known as the extended Kalman filter. This approach would be implemented in 1961 using an...
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics
Multiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

Computational Intelligence: An Introduction
Computational Intelligence: An Introduction

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm...

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering (Water Science and Technology Library)
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering (Water Science and Technology Library)

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important...

Cluster Analysis for Data Mining and System Identification
Cluster Analysis for Data Mining and System Identification

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

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