Soft Computing Based Modeling in Intelligent Systems

This book consists of various contributions in conjunction with the keywords “reasoning” and “intelligent systems”, which widely covers theoretical aspects to practical ones of intelligent systems. Th

Modeling and simulation (M&S) is increasingly becoming a central activity in the development of new and existing systems because it enables designers and researchers to manage systems complexity a

The QL&SC 2012 is a major symposium for scientists, and practitioners all around the world to present their latest reseaches, results, ideas, developments and applications in such areas as quantit

In recent years, there has been an increased interest in the field of healthcare delivery systems. Scientists and practitioners are constantly searching for ways to improve the safety, quality and eff

Artificial Intelligence has changed significantly in recent years and many new resources and approaches are now available to explore and implement this important technology. Intelligent Systems: Princ

This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stocha

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

This book aims to propose the implementation and application of Fractional Order Systems (FOS). It is well known that FOS can be utilized in control applications and systems modeling, and their effect

MATLAB and Simulink are now being used extensively in not only academia as a teaching aid, a learning aid and a research tool but also industry for modeling, analysis, design and rapid prototyping. As

"This book presents a solid framework for taking human-robot interaction closer to its full potential, presenting a close look at all the factors involved in modeling emotions and applying a thorough

Inspired by the leading authority in the field, the Centre for Process Systems Engineering at Imperial College London, this book includes theoretical developments, algorithms, methodologies and tools

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 11th of FLINS

This volume provides the fundamentals of involving stakeholders in collaborative modeling of energy systems, including the technical subsystem as well as its economic, social, environmental and politi

Olejnik, Awrejcewicz, and Feckan write primarily for practicing engineers and applied mathematicians who want to strengthen their knowledge in the broad areas of piecewise-smooth mechanical systems

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Inte

This book focuses on the World Bank projects, led by the author, based on computable general equilibrium models of international trade policy. The chapters show an unusual combination of policy releva

This volume offers the reader practical methods to compute the option prices in the incomplete asset markets. The [GLP \& MEMM] pricing models are clearly introduced, and the properties of these mode

Bone and Soft Tissue Augmentation in Implantology addresses useful methods of bone grafting procedures in implant treatment based on current biologic principles and constitutes a unique reference in this field. The book describes, in over 760 pages and 2837 mostly color illustrations, the different possibilities available to augment the bone volume in width and height. The information presented includes not only the underlying scientific concepts of the different augmentation techniques with autogenous bone, but also the associated soft tissue management, from safe approaches to different possibilities for soft tissue augmentation and papilla reconstruction techniques. The book provides surgeons with a basic understanding of the biologic response to bone grafting procedures. Experienced implantologists will benefit from the in-depth background information, details of high-level surgical techniques, and scientific results, which will enable them to optimize their surgical procedures. Ea

The slime mould Physarum polycephalum is a large cell visible by the unaided eye. It behaves as an intelligent nonlinear spatially extended active medium encapsulated in an elastic membrane. The cell

The role of high performance computing in current research on transitional and turbulent flows is undoubtedly very important. This review volume provides a good platform for leading experts and resear

This volume contains a collection of papers suggested by the Scientific Committee that includes the best papers presented in the 2nd International Conference (CHAOS2009) on Chaotic Modeling, Simulatio

Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable systems. This book aims to survey new research

S.S. Rao presents the principles of reliability-based engineering and design in a simple and straight-forward approach. He addresses the design of mechanical components and systems; Monte Carlo simula

Based in large part on a virtual computer, Pep/8, this text is designed to teach the basic concepts of the classic von Neumann machine. The idea is to cover the central concepts of computer organizati

The book reviews recent research activities in applied mechanics and applied mathematics such as the fields of solid & fluid constitutive modeling for coupled fields, applications of geophysical &

In order to survey efforts to build general intelligent systems based on an understanding of the brain, Ng (DSO National Laboratories, Singapore and Boston U.) draws together diverse perspectives and

Broadly speaking, there are two general approaches to teaching mathematical modeling: 1) The case study approach focusing on different specific modeling problems familiar to the particular author, and

Broadly speaking, there are two general approaches to teaching mathematical modeling: 1) The case study approach focusing on different specific modeling problems familiar to the particular author, and

Computers as Components: Principles of Embedded Computing System Design, Fourth Edition, continues to focus on foundational content in embedded systems technology and design while introducing new cont

This book provides an introduction to the cost modeling for electronic systems that is suitable for advanced undergraduate and graduate students in electrical, mechanical and industrial engineering, a

This book analyzes some of the most recent advances in the field of decision making and fuzzy systems applied to business and economics presented at the International Conference on Modeling and Simula

Discover a practical, streamlined approach to systems development that focuses on the latest developments with Tilley's Systems Analysis and Design, Cengage International Edition, 13th, and MindTap digital resources. Real examples clearly demonstrate both traditional and emerging approaches to systems analysis and design, including object-oriented and agile methods. You also study emerging technologies such as artificial intelligence (AI), machine learning (ML), cloud computing and cybersecurity. Meaningful projects, insightful assignments and both online and printed exercises emphasize the critical thinking and IT skills that are most important in today's dynamic, business-related environment.

For courses in electrical & computing engineering. Feedback control fundamentals with context, case studies, and a focus on design Feedback Control of Dynamic Systems, 8th Edition, covers the material that every engineer needs to know about feedback control-including concepts like stability, tracking, and robustness. Each chapter presents the fundamentals along with comprehensive, worked-out examples, all within a real-world context and with historical background provided.The text is devoted to supporting students equally in their need to grasp both traditional and more modern topics of digital control, and the author's focus on design as a theme early on, rather than focusing on analysis first and incorporating design much later. An entire chapter is devoted to comprehensive case studies, and the 8th Edition has been revised with up-to-date information, along with brand-new sections, problems, and examples.

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents

Professionals such as signal integrity engineers, package designers, and system architects need to thoroughly understand signal and power integrity issues in order to successfully design packages and

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS

●Focuses on real-world application by guiding students through practice problems and using the technique in a project●Presents a contemporary, object-oriented approach using UML (Unified Modeling Language)●Integrates stories, feedback, and advice from a diverse industry advisory board of IS professionals and consultants●Provides chapters that each cover a different step in the Systems Development Life Cycle (SDLC) process

For undergraduate and graduate courses in IT/IS Project Management. Information Systems Project Management operates from the assumption that organizational project management is a complex team-based a

•Database design methodologyis explicitly divided into three phases based on the widely accepted Entity—Relationship model: conceptual, logical, and physical. Each phase is described in a separate cha