Intelligent And Soft Computing In Infrastructure Systems Engineering

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Intelligent and Soft Computing in Infrastructure Systems Engineering

Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine
Intelligent and Soft Computing in Infrastructure Systems Engineering Book PDF

Author : Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine
Publisher : Springer
Page : 325 pages
File Size : 46,9 Mb
Release : 2009-11-23
Category : Computers
ISBN : 9783642045868

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Intelligent and Soft Computing in Infrastructure Systems Engineering by Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine Pdf

The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geo- chanical systems. Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm intelligence, probabilistic modeling, kernel machines, knowledge discovery and data mining, neuro-fuzzy systems and hybrid approaches. Highlighted application areas include infrastructure materials modeling, pavement analysis and design, rapid interpre- tion of nondestructive testing results, porous asphalt concrete distress modeling, model parameter identification, pavement engineering inversion problems, s- grade soils characterization, and backcalculation of pavement layer thickness and moduli.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Analysis and Design of Intelligent Systems Using Soft Computing Techniques Book PDF

Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 855 pages
File Size : 50,8 Mb
Release : 2007-09-20
Category : Technology & Engineering
ISBN : 9783540724322

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques by Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz Pdf

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Intelligent Infrastructure

Hojjat Adeli,Xiaomo Jiang
Intelligent Infrastructure Book PDF

Author : Hojjat Adeli,Xiaomo Jiang
Publisher : CRC Press
Page : 0 pages
File Size : 54,7 Mb
Release : 2008-10-06
Category : Technology & Engineering
ISBN : 1420085360

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Intelligent Infrastructure by Hojjat Adeli,Xiaomo Jiang Pdf

Recent estimates hypothesize that the US will need $1.6 trillion dollars for the rehabilitation, replacement, and maintenance of existing infrastructure systems within the next 20 years. Presenting a new vision and way of designing and managing the civil infrastructure of the nation, Intelligent Infrastructure: Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures presents the foundations of intelligent infrastructure. It presents novel technologies, methods, and detailed computational algorithms for creation of smart structures and intelligent freeways. This book crosses the two disciplines of structural engineering and transportation engineering and provides a unique treatise for attacking and solving some of the most complex and intractable problems encountered in the emerging fields of smart structures and intelligent transportation systems. It demonstrates how some of these problems can be solved effectively through ingenious integration of several different computing paradigms including chaos theory (based on nonlinear dynamics theory), wavelets (a signal processing method), and three complementary soft computing methods: fuzzy logic, neural networks, and genetic algorithms. Adeli and Jiang discuss multidisciplinary methodologies for health and monitoring and nonlinear active control of tall building structure subject to dynamic loading such as those due to winds or earthquake. Delineating an approach to infrastructure system engineering and management that is both modern and futuristic, the authors explore the advanced computing technologies that will play an important role in the creation of an effective smart structure technology.

Soft Computing in Green and Renewable Energy Systems

Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Soft Computing in Green and Renewable Energy Systems Book PDF

Author : Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou
Publisher : Springer
Page : 305 pages
File Size : 52,9 Mb
Release : 2011-08-20
Category : Technology & Engineering
ISBN : 9783642221767

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Soft Computing in Green and Renewable Energy Systems by Kasthurirangan Gopalakrishnan,Siddhartha Kumar Khaitan,Soteris Kalogirou Pdf

Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful.

Multi-Objective Swarm Intelligent Systems

Leandro dos Santos Coelho
Multi Objective Swarm Intelligent Systems Book PDF

Author : Leandro dos Santos Coelho
Publisher : Springer
Page : 211 pages
File Size : 45,6 Mb
Release : 2009-11-23
Category : Computers
ISBN : 9783642051654

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Multi-Objective Swarm Intelligent Systems by Leandro dos Santos Coelho Pdf

This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.

Smart Information and Knowledge Management

Edward Szczerbicki
Smart Information and Knowledge Management Book PDF

Author : Edward Szczerbicki
Publisher : Springer
Page : 339 pages
File Size : 50,6 Mb
Release : 2009-12-01
Category : Computers
ISBN : 9783642045844

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Smart Information and Knowledge Management by Edward Szczerbicki Pdf

New approaches are needed that could move us towards developing effective applicable intelligent systems for problem solving and decision making, One of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 14 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to develop tools for smart processing of knowledge and information. Still, the guide does not presume to give ultimate answers. Rather, it poses ideas and case studies to explore the complexities and challenges of modern knowledge management issues. It also encourages its reader to become aware of the multifaceted interdisciplinary character of such issues. The premise of this book is that its reader will leave it with a heightened ability to think - in different ways - about developing, evaluating, and supporting intelligent knowledge and information management systems in real life based environment.

Advances in Intelligent Information Systems

Zbigniew W Ras,Li-Shiang Tsay
Advances in Intelligent Information Systems Book PDF

Author : Zbigniew W Ras,Li-Shiang Tsay
Publisher : Springer Science & Business Media
Page : 366 pages
File Size : 52,6 Mb
Release : 2010-02-04
Category : Computers
ISBN : 9783642051821

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Advances in Intelligent Information Systems by Zbigniew W Ras,Li-Shiang Tsay Pdf

Intelligent Information Systems (IIS) can be defined as the next generation of Information Systems (IS) developed as a result of integration of AI and database (DB) technologies. IIS embody knowledge that allows them to exhibit intelligent behavior, allows them to cooperate with users and other systems in problem solving, discovery, retrieval, and manipulation of data and knowledge. For any IIS to serve its purpose, the information must be available when it is needed. This means that the computing systems used to store data and process the information, and the security controls used to protect it must be functioning correctly. This book covers some of the above topics and it is divided into four sections: Classification, Approximation and Data Security, Knowledge Management, and Application of IIS to medical and music domains.

Advances in Multi-Objective Nature Inspired Computing

Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan
Advances in Multi Objective Nature Inspired Computing Book PDF

Author : Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan
Publisher : Springer Science & Business Media
Page : 204 pages
File Size : 48,9 Mb
Release : 2010-02-04
Category : Mathematics
ISBN : 9783642112171

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Advances in Multi-Objective Nature Inspired Computing by Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan Pdf

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems.

Intelligent Autonomous Systems

Dilip Kumar Pratihar
Intelligent Autonomous Systems Book PDF

Author : Dilip Kumar Pratihar
Publisher : Springer
Page : 266 pages
File Size : 43,9 Mb
Release : 2010-03-11
Category : Technology & Engineering
ISBN : 9783642116766

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Intelligent Autonomous Systems by Dilip Kumar Pratihar Pdf

Intelligent Autonomous Systems (IAS) are the physical embodiment of machine intelligence providing a core concept for integrating various advanced techno- gies with pattern recognition and learning. The basic philosophy of IAS research is to explore and understand the nature of intelligence in problems of perception, reasoning, learning and control in order to develop and implement the theory to engineered realization. In other words, the objective is to formulate various me- odologies for the development of robots which can operate autonomously and exhibit intelligent behavior by making appropriate decisions to perform the right task at the right time. Since IAS basically deals with the integration of machines, computing, sensing, and software to create intelligent systems capable of intera- ing with the complexities of the real world, advanced topics like soft computing, artificial life, evolutionary biology, and cognitive psychology have great promise in improving its intelligence and performance. Because of the inter-disciplinary character, the subject has several challenging issues for research, design and development covering a number of disciplines. These issues are further concerned with the development of both technology and methodology apart from various operations. The present research monograph titled “Intelligent Autonomous Systems: Foundations and Applications", edited by two renowned researchers, Professor Dilip K. Pratihar of IIT, Kharagpur, India and Professor Lakhmi C. Jain, Univ- sity of South Australia, Australia, provides a fairly representative cross-section of the activities that is going on all over the world in this area.

Applications of Neural Networks in High Assurance Systems

Johann M.Ph. Schumann,Yan Liu
Applications of Neural Networks in High Assurance Systems Book PDF

Author : Johann M.Ph. Schumann,Yan Liu
Publisher : Springer
Page : 248 pages
File Size : 51,8 Mb
Release : 2010-03-10
Category : Technology & Engineering
ISBN : 9783642106903

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Applications of Neural Networks in High Assurance Systems by Johann M.Ph. Schumann,Yan Liu Pdf

"Applications of Neural Networks in High Assurance Systems" is the first book directly addressing a key part of neural network technology: methods used to pass the tough verification and validation (V&V) standards required in many safety-critical applications. The book presents what kinds of evaluation methods have been developed across many sectors, and how to pass the tests. A new adaptive structure of V&V is developed in this book, different from the simple six sigma methods usually used for large-scale systems and different from the theorem-based approach used for simplified component subsystems.

Computational Intelligence for Technology Enhanced Learning

Fatos Xhafa,Santi Caballé,Ajith Abraham,Thanasis Daradoumis,Angel Alejandro Juan Perez
Computational Intelligence for Technology Enhanced Learning Book PDF

Author : Fatos Xhafa,Santi Caballé,Ajith Abraham,Thanasis Daradoumis,Angel Alejandro Juan Perez
Publisher : Springer Science & Business Media
Page : 259 pages
File Size : 52,8 Mb
Release : 2010-02-18
Category : Mathematics
ISBN : 9783642112232

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Computational Intelligence for Technology Enhanced Learning by Fatos Xhafa,Santi Caballé,Ajith Abraham,Thanasis Daradoumis,Angel Alejandro Juan Perez Pdf

E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.

Parallel and Distributed Computational Intelligence

Francisco Fernández Vega,Erick Cantú-Paz
Parallel and Distributed Computational Intelligence Book PDF

Author : Francisco Fernández Vega,Erick Cantú-Paz
Publisher : Springer
Page : 349 pages
File Size : 49,6 Mb
Release : 2010-01-06
Category : Technology & Engineering
ISBN : 9783642106750

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Parallel and Distributed Computational Intelligence by Francisco Fernández Vega,Erick Cantú-Paz Pdf

Offering a global snapshot of parallel and distributed computational intelligence today, this volume covers ongoing issues as well as recent exploratory work. Topics discussed include GPUs, Clusters, Grids, volunteer computing, p2p networks and more.

Evolutionary Algorithms and Chaotic Systems

Ivan Zelinka,Sergej Celikovský,Hendrik Richter,Guanrong Chen
Evolutionary Algorithms and Chaotic Systems Book PDF

Author : Ivan Zelinka,Sergej Celikovský,Hendrik Richter,Guanrong Chen
Publisher : Springer Science & Business Media
Page : 533 pages
File Size : 53,7 Mb
Release : 2010-02-23
Category : Computers
ISBN : 9783642107061

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Evolutionary Algorithms and Chaotic Systems by Ivan Zelinka,Sergej Celikovský,Hendrik Richter,Guanrong Chen Pdf

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

Wide Area Power Systems Stability, Protection, and Security

Hassan Haes Alhelou,Almoataz Y. Abdelaziz,Pierluigi Siano
Wide Area Power Systems Stability Protection and Security Book PDF

Author : Hassan Haes Alhelou,Almoataz Y. Abdelaziz,Pierluigi Siano
Publisher : Springer Nature
Page : 614 pages
File Size : 53,8 Mb
Release : 2020-09-21
Category : Technology & Engineering
ISBN : 9783030542757

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Wide Area Power Systems Stability, Protection, and Security by Hassan Haes Alhelou,Almoataz Y. Abdelaziz,Pierluigi Siano Pdf

This book proposes new control and protection schemes to improve the overall stability and security of future wide-area power systems. It focuses on the high penetration levels of renewable energy sources and distributed generation, particularly with the trend towards smart grids. The control methods discussed can improve the overall stability in normal and abnormal operation conditions, while the protection methods presented can be used to ensure the secure operation of systems under most severe contingencies. Presenting stability, security, and protection methods for power systems in one concise volume, this book takes the reader on a journey from concepts and fundamentals to the latest and future trends in each topic covered, making it an informative and intriguing read for researchers, graduate students, and practitioners alike.

Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

Jacek Mandziuk
Knowledge Free and Learning Based Methods in Intelligent Game Playing Book PDF

Author : Jacek Mandziuk
Publisher : Springer
Page : 254 pages
File Size : 52,7 Mb
Release : 2010-03-14
Category : Computers
ISBN : 9783642116780

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Knowledge-Free and Learning-Based Methods in Intelligent Game Playing by Jacek Mandziuk Pdf

Humans and machines are very di?erent in their approaches to game pl- ing. Humans use intuition, perception mechanisms, selective search, creat- ity, abstraction, heuristic abilities and other cognitive skills to compensate their (comparably) slow information processing speed, relatively low m- ory capacity, and limited search abilities. Machines, on the other hand, are extremely fast and infallible in calculations, capable of e?ective brute-for- type search, use “unlimited” memory resources, but at the same time are poor at using reasoning-based approaches and abstraction-based methods. The above major discrepancies in the human and machine problem solving methods underlined the development of traditional machine game playing as being focused mainly on engineering advances rather than cognitive or psychological developments. In other words, as described by Winkler and F ̈ urnkranz [347, 348] with respect to chess, human and machine axes of game playing development are perpendicular, but the most interesting, most promising, and probably also most di?cult research area lies on the junction between human-compatible knowledge and machine compatible processing.I undoubtedly share this point of view and strongly believe that the future of machine game playing lies in implementation of human-type abilities (- straction,intuition,creativity,selectiveattention,andother)whilestilltaking advantage of intrinsic machine skills. Thebookisfocusedonthedevelopmentsandprospectivechallengingpr- lems in the area of mind gameplaying (i.e. playinggames that require mental skills) using Computational Intelligence (CI) methods, mainly neural n- works, genetic/evolutionary programming and reinforcement learning.