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检索条件"丛书名=Studies in Computational Intelligence"

共 1287 条记录，以下是351-360 订阅

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems 1

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丛书名： studies in computational intelligence

2014年

作者： Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk (eds.)

ISBN: (数字)9783319051703

ISBN: (纸本)9783319051697;9783319051703

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

关键词： Soft computing Artificial intelligence Fuzzy logic

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Exploring Image Binarization Techniques 1

引用

丛书名： studies in computational intelligence

2014年

作者： Nabendu Chaki, Soharab Hossain Shaikh, Khalid Saeed (auth.)

ISBN: (数字)9788132219071

ISBN: (纸本)9788132219064;9788132219071

The book focuses on an image processing technique known as binarization. It provides a comprehensive survey over existing binarization techniques for both document and graphic images. A number of evaluation techniques have been presented for quantitative comparison of different binarization methods. The book provides results obtained comparing a number of standard and widely used binarization algorithms using some standard evaluation metrics. The comparative results presented in tables and charts facilitates understanding the process. In addition to this, the book presents techniques for preparing a reference image which is very much important for quantitative evaluation of the binarization techniques. The results are produced taking image samples from standard image databases.

关键词： Image processing

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Big Data and Internet of Things: A Roadmap for Smart Environments 2014

引用

丛书名： studies in computational intelligence

2014年

作者： Nik Bessis Ciprian Dobre

ISBN: (数字)9783319050294

ISBN: (纸本)9783319050287

This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities:Section I: Foundations and Principles Section II: Advanced Models and Architectures Section III: Advanced Applications and Future Trends The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.

关键词： Big data. Internet of things

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Issues and Challenges of Intelligent Systems and computational intelligence 1

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丛书名： studies in computational intelligence

2014年

作者： Vesa A. Niskanen (auth.), László T. Kóczy, Claudiu R. Pozna, Janusz Kacprzyk (eds.)

ISBN: (数字)9783319032061

ISBN: (纸本)9783319032054;9783319032061

This carefully edited book contains contributions of prominent and active researchers and scholars in the broadly perceived area of intelligent systems. The book is unique both with respect to the width of coverage of tools and techniques, and to the variety of problems that could be solved by the tools and techniques presented. The editors have been able to gather a very good collection of relevant and original papers by prominent representatives of many areas, relevant both to the theory and practice of intelligent systems, artificial intelligence, computational intelligence, soft computing, and the like. The contributions have been divided into 7 parts presenting first more fundamental and theoretical contributions, and then applications in relevant areas.

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computational intelligence in digital forensics : forensic investigation and applications / 1

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丛书名： studies in computational intelligence

2014年

作者： "Azah Kamilah Muda Yun-Huoy Choo Ajith Abraham Sargur N. Srihari editors."

ISBN: (数字)9783319058849

ISBN: (纸本)9783319058849

computational intelligence techniques have been widely explored in various domains including forensics. Analysis in forensic encompasses the study of pattern analysis that answer the question of interest in security, medical, legal, genetic studies and etc. However, forensic analysis is usually performed through experiments in lab which is expensive both in cost and time. Therefore, this book seeks to explore the progress and advancement of computational intelligence technique in different focus areas of forensic studies. This aims to build stronger connection between computer scientists and forensic field experts. This book, computational intelligence in Digital Forensics: Forensic Investigation and Applications, is the first volume in the Intelligent Systems Reference Library series. The book presents original research results and innovative applications of computational intelligence in digital forensics. This edited volume contains seventeen chapters and presents the latest state-of-the-art advancement of computational intelligence in Digital Forensics; in both theoretical and application papers related to novel discovery in intelligent forensics. The chapters are further organized into three sections: (1) Introduction, (2) Forensic Discovery and Investigation, which discusses the computational intelligence technologies employed in Digital Forensic, and (3) Intelligent Forensic Science Applications, which encompasses the applications of computational intelligence in Digital Forensic, such as human anthropology, human biometrics, human by products, drugs, and electronic devices.

关键词： computational intelligence. Computer crimes

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Predicate Argument Structures for Information Extraction from Dependency Representations: Null Elements are Missing

Predicate Argument Structures for Information Extraction fro...

引用

4th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2012)

作者： Delmonte, Rodolfo Ca Foscari Univ Dept Linguist Studies & Comparat Culture Venice Italy Ca Foscari Univ Dept Comp Sci Venice Italy

ISBN: (纸本)9783642406201

State of the art parsers are currently trained on converted versions of Penn Treebank into dependency representations which however don't include null elements. This is done to facilitate structural learning and prevent the probabilistic engine to postulate the existence of deprecated null elements everywhere (see [15]). However it is a fact that in this way, the semantics of the representation used and produced on runtime is inconsistent and will reduce dramatically its usefulness in real life applications like Information Extraction, Q/A and other semantically driven fields by hampering the mapping of a complete logical form. What systems have come up with are "Quasi"-logical forms or partial logical forms mapped directly from the surface representation in dependency structure. We show the most common problems derived from the conversion and then describe an algorithm that we have implemented to apply to our converted Italian Treebank, that can be used on any CONLL-style treebank or representation to produce an "almost complete" semantically consistent dependency treebank.

关键词： Predicate argument structures Dependency structures Null elements Logical form Information extraction for question answering and text understanding

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Complex Networks V: Proceedings of the 5th Workshop on Complex Networks CompleNet 2014 1

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丛书名： studies in computational intelligence

2014年

作者： Pierluigi Contucci, Ronaldo Menezes, Andrea Omicini, Julia Poncela-Casasnovas (eds.)

ISBN: (数字)9783319054018

ISBN: (纸本)9783319054001;9783319054018

A network is a mathematical object consisting of a set of pointsthat are connected to each other in somefashion by lines. It turns out thissimple descriptioncorresponds to a bewildering array of systems in the real world,ranging from technological ones such as the Internet and WorldWide Web, biological networks such as that of connections of thenervous systems, food webs or protein interactions,infrastructural systems such as networks of roads, airports or the power-grid,to patterns of social and professional relationships such as friendship, sex partners, network ofHollywood actors, co-authorship networks and many *** years have witnessed a substantial amount of interest within thescientific community in the properties of these networks. The emergenceof the internet in particular, coupled with the widespread availability ofinexpensive computing resources has facilitated studies ranging fromlarge scale empirical analysis of networks in the real world, to the developmentof theoretical models and tools to explore the various properties of these *** study of networks is broadly interdisciplinary and central developments haveoccurred in many fields, including mathematics, physics, computer and informationsciences, biology and the social *** book brings together a collectionof cutting-edge research in the field from adiversearray of researchers ranging fromphysicists to social scientists and presents them in acoherent fashion, highlighting thestrong interconnections between the different areas. Topicsincluded are social networks and social media, opinion and innovation diffusion,biological and health-related networks, language networks, as well as network theory, community detection,or growth models for Complex Networks.

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computational intelligence for Decision Support in Cyber-Physical Systems 2014

引用

丛书名： studies in computational intelligence

2014年

作者： Zeashan H Khan A. B. M. Shawkat Ali Zahid Riaz

ISBN: (数字)9789814585361

ISBN: (纸本)9789814585354

This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level. This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems. Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researchers working on the applications of computational intelligence methods in CPS.

关键词： computational intelligence. Decision support systems

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Soft Computing for Business intelligence 1

引用

丛书名： studies in computational intelligence

2014年

作者： Rafael Alejandro Espín Andrade, Eduardo Fernández, Erick González (auth.), Rafael Espin, Rafael Bello Pérez, Angel Cobo, Jorge Marx, Ariel Racet Valdés (eds.)

ISBN: (数字)9783642537363;9783642537370

ISBN: (纸本)9783642537363;9783642537370

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 *** contains twenty-seven papers allocated to three sections: Soft Computing, Business intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle Observation and Analysis while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other soft computing *** book tears down the traditional focus on business, and extends Business intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.

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Innovations in Intelligent Machines-5: computational intelligence in Control Systems Engineering 1

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丛书名： studies in computational intelligence

2014年

作者： Valentina Emilia Balas, Petia Koprinkova-Hristova, Lakhmi C. Jain (eds.)

ISBN: (数字)9783662433706

ISBN: (纸本)9783662433690;9783662433706

This research monograph presents selected areas of applications in the field of control systems engineering using computational intelligence methodologies. A number of applications and case studies are introduced. These methodologies are increasing used in many applications of our daily lives. Approaches include, fuzzy-neural multi model for decentralized identification, model predictive control based on time dependent recurrent neural network development of cognitive systems, developments in the field of Intelligent Multiple Models based Adaptive Switching Control, designing military training simulators using modelling, simulation, and analysis for operational analyses and training, methods for modelling of systems based on the application of Gaussian processes, computational intelligence techniques for process control and image segmentation technique based on modified particle swarm optimized-fuzzy entropy.

关键词： Artificial intelligence computational intelligence

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