الصفحة 65
الصفحة 65
Evolving Connectionist Systems : The Knowledge Engineering Approach
Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. This edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. An important new feature of the book is the attempt to connect different structural and functional levels of a complex, intelligent system, looking for inspiration from functional relationships in natural systems, such as the genetic and the brain activity.
Evolutionary Swarm Robotics : Evolving Self-Organising Behaviours in Groups of Autonomous Robots
In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced. This research has a twofold value. From an engineering perspective, an automatic methodology for synthesising complex behaviours in a robotic system is described.
Evolutionary Computer Music
The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniques are used to model the cultural transmission and change of a population's body of musical ideas over time. In both cases, musical evolution can be guided by a variety of constraints and tendencies built into the system, such as realistic psychological factors that influence the way music is expressed, experienced, learned, stored, modified, and passed on among individuals. This book discusses not only the applications of evolutionary computation to music, but also the tools needed to create and study such systems. These tools are drawn in part from research into the origins and evolution of biological organisms, ecologies, and cultural systems on the one hand, and from computer simulation methodologies on the other. They can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed that would otherwise be impossible.
Evolutionary computation, machine learning and data mining in bioinformatics ; 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings
The feld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specifc infortioninagivendatasetinorderto generate new in teresting knowledge.Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to ofer the feld of bioinformatics.
Evolutionary computation, machine learning and data mining in bioinformatics ; 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings
This book Covers brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
Evolutionary Computation in Dynamic and Uncertain Environments
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.
Evolutionary Computation for Modeling and Optimization
Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered.
Evolutionary Biology from Concept to Application
this book provides an up-to-date overview of evolutionary concepts and how these concepts can be applied to a better understanding of various biological aspects. It is divided into the following four parts: Modelization of Evolution - Concepts in Evolutionary Biology - Knowledge - Applied Evolutionary Biology.This book is an invaluable source of information not only for evolutionary biologists, but also for biologists in general.
Evolution, Monitoring and Predicting Models of Rockburst : Precursor Information for Rock Failure
Focuses on investigating predicting precursor information and key points of rockburst in mining engineering through laboratory experiment, theoretical analysis, numerical simulation and case studies. Understanding the evolution patterns for the microstructure instability of rock is a prerequisite for rockburst prediction. The book provides a guide for readers seeking to understand the evolution patterns for the microstrucure of rock failure, the predicting key point of rock failure and the rockburst predicting model. It will be an essential reference to understand mechanism of rockburst and sheds new light on dynamic disasters prediction. Chapters are carefully developed to cover (1) The evolution patterns for the microstructure instability of rock; (2) Rockburst hazard monitoring and predicting criterion and predicting models. The book addresses the issue with a holistic and systematic approach that investigates the occurrence mechanism of rockburst based on the evolution patterns for the microstructure of rock failure and establishes the predicting model of rockburst.
Evolution of Thin Film Morphology : Modeling and Simulations
Thin film deposition is the most ubiquitous and critical of the processes used to manufacture high tech devices. Morphology and microstructure of thin films directly controls their optical, magnetic, and electrical properties. This book focuses on modeling and simulations used in research on the morphological evolution during film growth. The authors emphasize the detailed mathematical formulation of the problem both through numerical calculations based on Langevin continuum equations, and through Monte Carlo simulations based on discrete surface growth models when an analytical formulism is not convenient. Evolution of Thin-Film Morphology will be of benefit to university researchers and industrial scientists working in the areas of semiconductor processing, optical coating, plasma etching, patterning, micro-machining, polishing, tribology, and any discipline that requires an understanding of thin film growth processes.
Evolution of the Web in Artificial Intelligence Environments
The material in this book is designed to be drawn from different Web application areas so as to provide an overview of important contributions in the development of the Web applications. These are mainly in the areas of Web personalisation, semantic Web and Web services.
Evidence-based school development in changing demographic contexts
This book features a school development model (Arizona Initiative for Leadership Development and Research – AZiLDR) that offers a roadmap for schools to navigate the complexities of continuous school development. Filled with processes that balance evidence-based values with democratic, culturally responsive values, this book offers strategies to mediate the tensions and to address school culture, context and values, leadership capacity, using data as a source of reflection, curricular and pedagogical activity, and strengths-based approaches to meeting the needs of culturally diverse students.
Evaluation and Decision Models with Multiple Criteria : Stepping stones for the analyst
The purpose of Evaluation and Decision Models: A Critical Perspective is to provide a critical thinking framework for all individuals utilizing decision and evaluation models, whether it be for research or applications. It is axiomatic that all evaluation and decision models suffer some limitations. There are situations where a decision model will not perform to expectations. This book argues that there is no best decision or evaluation model, but that decision-makers must understand the principles of formal evaluation and decision models and apply them critically. Hence, the book seeks to deepen our understanding of evaluation and decision models and encourage users of these models to think more analytically about them.
Evaluating the organizational impact of health care information systems
Evaluating the Organizational Impact of Health Care Information Systems, Second Edition, is heavily updated and revised from its First Edition, which is entitled Evaluating Health Care Information Systems: Methods and Applications. The much-needed Second Edition is a guide for evaluating the organizational impacts of computer systems in health care institutions. It provides a practical guide for determining the appropriate questions to ask based on underlying models of change and the most effective methods available. An introduction to various methods is provided, as well as appendices containing survey instruments usable in research and evaluation, computer programs for data analyses, and other evaluation resources. The book provides a critical overview of current research and evaluation to date with numerous bibliographic references from health care and other fields. The methods and instruments described are applicable to a wide variety of other organizations that utilize information technology and they emphasize the importance of clearly specifying the purpose of the evaluation, recognizing assumptions about organizational change and using a multi-method approach to system evaluation. The material presented is drawn from a variety of social and health science disciplines in order to integrate the study of information system with social science theory and methods. Chapter highlights include Cognitive Approaches to Evaluation, Computer Simulation as an Evaluation Tool, and Research and Evaluation: Future Directions.
Evaluating competencies : Forensic assessments and instruments
As in its first edition, this book offers a conceptual model for understanding the nature of legal competencies. The model is interpreted to assist mental health professionals in designing and performing assessments for legal competencies defined in criminal and civil law, and to guide research that will improve the practice of evaluations for legal competencies. A special feature is the book's evaluative review of specialized forensic assessment instruments for each of several legal competencies. Three-fourths of the 37 instruments reviewed in the second edition are new and thus were not reviewed in the first edition.
European Robotics Symposium 2008
These monothematic proceedings represent a collection of papers presented at the 2nd European Robotics Symposium, held in Prague, March 26-27, 2008. The goal of the given selection of papers is to provide a comprehensive overview of the recent status in robotics research world-wide in the key areas of cognition, autonomy, adaptation and robustness in robotics.
European Large Lakes Ecosystem changes and their ecological and socioeconomic impacts
Large lakes offer socio-economic benefits and can be used in many ways, and are often areas in which economic, cultural and political interests overlap. In this book the problems regarding the present status of European large lakes and the directions of change are discussed. Threats caused by direct human impact and by climate change, protection needs and restoration measures are considered.
Euro-Par 2020 : Parallel Processing ; 26th International Conference on Parallel and Distributed Computing, Warsaw, Poland, August 24–28, 2020, Proceedings
This book constitutes the proceedings of the 26th International Conference on Parallel and Distributed Computing, Euro-Par 2020, held in Warsaw, Poland, in August 2020. The conference was held virtually due to the coronavirus pandemic. The 39 full papers presented in this volume were carefully reviewed and selected from 158 submissions. They deal with parallel and distributed computing in general, focusing on support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; multicore and manycore parallelism; parallel numerical methods and applications; and accelerator computing.
Euro-Par 2007 Workshops : Parallel Processing ; HPPC 2007, UNICORE Summit 2007, and VHPC 2007, Rennes, France, August 28-31, 2007, Revised Selected Papers
Parallel and distributed processing , although within the focus of computer science research for along time ,is gainingmore and more importance in awidespectrum of applications. These proceedings aim to demonstrate the use of parallel and distributed processing concepts in diferent application felds, and attempt to spark interest in novel research directions to advance the embracing model of high-performance computing research in general. The objective of these workshops is to specifcally address researchers c- ing from university, industry and governmental research organizations and application-oriented companies, in order to close the gap between purely sentifc research and the applicability of the research ideas to real-life problems.
Euro-Par 2006 Parallel Processing ; 12th International Euro-Par Conference, Dresden, Germany, August 28-September 1, 2006, Proceedings
This book constitutes the refereed proceedings of the 12th International Conference on Parallel Computing, Euro-Par 2006. parallel and distributed databases, data mining and knowledge discovery; grid and cluster computing: models, middleware and architectures; parallel computer architecure and instruction-level parallelism.
