Bücher der Reihe Studies in Computational Intelligence

The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.

For this book, the editors invited contributions from indispensable research areas relevant to "chance discovery", which has been defined as the discovery of events significant for making a decision, and studied since 2000. The chapters contain contributions to identifying rare or hidden events and explaining their significance.

Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters selected on the basis of fundamental ideas/concepts including an introductory chapter giving the fundamental definitions and some important research challenges.

This book examines applications of computational intelligence, emphasizing fuzzy techniques, to issues in measurement, analysis and control of Internet traffic. Covers data mining and control problems and practical hardware implementation of systems proposed.

With the increasing applications of intelligent robotic systems in various ?elds, the - sign and control of these systems have increasingly attracted interest from researchers.

Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation.

This book contains extended versions of select papers from the International Conference on Intelligent Unmanned Systems, ICIUS 2007. It presents theories and applications that address the current and future challenges in the area of unmanned systems.

SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing.

Event-based distributed systems are playing an increasingly important role in a broad range of application domains. This book presents a thorough review of reasoning in event-based distributed systems. It also contains new research and extensive references.

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic.

This volume includes the best papers of the IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, held on June 2009 in Shanghai, China.

Social network analysis investigates the structure and dynamics of intelligent Web-based networking and collaborative systems. This volume covers the latest advances in the field that lead to competitive advantages in business and academia.

Complex-valued neural networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book on the multi-valued neuron (MVN) and MVN-based neural networks covers MVN theory, learning, and applications.

The range of the various applications is captured with 5 chapters in image processing, 2 chapters in audio processing, 3 chapters in commerce and finance, 2 chapters in communication networks and 6 chapters containing other applications.

Creative Space summarizes and integrates the various up-to-date approaches of computational intelligence to knowledge and technology creation including the specific novel feature of utilizing the creative abilities of the human mind, such as tacit knowledge, emotions and instincts, and intuition.

Designing complex programs such as operating systems, compilers, filing systems, data base systems, etc. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.

This monograph presents a selected collection of research work on multi-objective approach to machine learning, including multi-objective feature selection, multi-objective model selection in training multi-layer perceptrons, radial-basis-function networks, support vector machines, decision trees, and intelligent systems.

This book focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.

Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. It covers the state-of-the-art of e-service intelligence including both theorems and applications, and a broad range of topics are discussed.

This book covers the recent applications of computational intelligence techniques in reliability engineering. It also contains chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques.

This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization.

This book provides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models. It takes into account meteorological and traffic aspects. The book will be useful for professionals and researchers working in problems associated with urban air pollution management and control

This book presents recent advances in quality measures in data mining.

This book presents some of the most recent research results on the applications of computational intelligence in healthcare. The contents include: information model for management of clinical content; state-based model for management of type II diabetes; multi-agent systems for the management of community healthcare;

Evolutionary scheduling is a vital research domain at the interface of artificial intelligence and operational research. It demonstrates the applicability of evolutionary computational techniques to solve scheduling problems, not only to small-scale test problems, but also fully-fledged real-world problems.

Chapter 1 introduces the basic differential evolution (DE) algorithm and presents a broad overview of the field. Chapter 2 presents a new, rotationally invariant DE algorithm. the former develops suitable stopping conditions for the DE run, and the latter presents an improved DE algorithm for problems with very small feasible regions.

This volume, aimed at graduate students, computer experts and researchers in urban planning, presents the contributions to a workshop held in Geneva in 2006, that was convened to address emerging issues in the field of urban development.

Technology is taking us to a world where myriads of networked devices interact with the physical world in multiple ways and at multiple scales. According to the broad spectrum addressed by the different chapters, a rich variety of biological principles and their application to ICT systems are presented.