Computational Intelligence for Modelling and Prediction

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540260714
Total Pages : 432 pages
Book Rating : 4.2/5 (67 download)

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Book Synopsis Computational Intelligence for Modelling and Prediction by : Saman K. Halgamuge

Download or read book Computational Intelligence for Modelling and Prediction written by Saman K. Halgamuge and published by Springer Science & Business Media. This book was released on 2005-09-02 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of Computational Intelligence in emerging research areas such as Granular Computing, Mechatronics, and Bioinformatics shows its usefulness often emphasized by Prof Lotfi Zadeh, the inventor of fuzzy logic and many others. This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. 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.

Computational Intelligence for Modelling and Prediction

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Publisher : Springer
ISBN 13 : 9783540811169
Total Pages : 414 pages
Book Rating : 4.8/5 (111 download)

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Book Synopsis Computational Intelligence for Modelling and Prediction by : Saman K. Halgamuge

Download or read book Computational Intelligence for Modelling and Prediction written by Saman K. Halgamuge and published by Springer. This book was released on 2009-09-02 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of Computational Intelligence in emerging research areas such as Granular Computing, Mechatronics, and Bioinformatics shows its usefulness often emphasized by Prof Lotfi Zadeh, the inventor of fuzzy logic and many others. This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. 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.

Computational Intelligence in Time Series Forecasting

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281849
Total Pages : 382 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Computational Intelligence in Time Series Forecasting by : Ajoy K. Palit

Download or read book Computational Intelligence in Time Series Forecasting written by Ajoy K. Palit and published by Springer Science & Business Media. This book was released on 2006-01-04 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foresight in an engineering business can make the difference between success and failure, and can be vital to the effective control of industrial systems. The authors of this book harness the power of intelligent technologies individually and in combination.

Time Series Analysis, Modeling and Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642334393
Total Pages : 398 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Time Series Analysis, Modeling and Applications by : Witold Pedrycz

Download or read book Time Series Analysis, Modeling and Applications written by Witold Pedrycz and published by Springer Science & Business Media. This book was released on 2012-11-29 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.

Computational Intelligence for Modelling, Control & Automation

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Publisher : IOS Press
ISBN 13 : 9789051994759
Total Pages : 354 pages
Book Rating : 4.9/5 (947 download)

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Book Synopsis Computational Intelligence for Modelling, Control & Automation by : Masoud Mohammadian

Download or read book Computational Intelligence for Modelling, Control & Automation written by Masoud Mohammadian and published by IOS Press. This book was released on 1999 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is dedicated to the theory and applications of Computational Intelligence techniques for Intelligent Image Processing, Data Analysis and Information Retrieval. It consists of 52 accepted research papers from the 1999 International Conference on Computational Intelligence for Modeling, Control and Automation - CIMCA'99. The goal of this conference was to provide a medium for the exchange of ideas between theoreticians and practitioners to address the important issues in computational intelligence for modelling, control and automation. The research papers presented in this book cover new techniques and applications in the of Image Processing, Computer Vision, Multimedia Systems, Filtering, Classification, Data Analysis, Prediction, Intelligent Database and Information Retrievals.

Computational Intelligence in Software Modeling

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110709341
Total Pages : 282 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Computational Intelligence in Software Modeling by : Vishal Jain

Download or read book Computational Intelligence in Software Modeling written by Vishal Jain and published by Walter de Gruyter GmbH & Co KG. This book was released on 2022-02-21 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.

Computational Intelligence for Modelling, Control & Automation

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Publisher : IOS Press
ISBN 13 : 9789051994735
Total Pages : 408 pages
Book Rating : 4.9/5 (947 download)

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Book Synopsis Computational Intelligence for Modelling, Control & Automation by : Masoud Mohammadian

Download or read book Computational Intelligence for Modelling, Control & Automation written by Masoud Mohammadian and published by IOS Press. This book was released on 1999 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliable and straightforward, this text has helped thousands of students learn to write well. Jean Wyrick's rhetorically organized STEPS TO WRITING WELL WITH ADDITIONAL READINGS is known for its student-friendly tone and the clear way it presents the basics of essay writing in an easy-to-follow progression of useful lessons and activities. Through straightforward advice and thoughtful assignments, the text gives students the practice they need to approach writing well-constructed essays with confidence. With Wyrick's helpful instruction and the book's professional samples by both well-known classic and contemporary writers, STEPS TO WRITING WELL WITH ADDITIONAL READINGS sets students on a solid path to writing success. Everything students need to begin, organize, and revise writing--from choosing a topic to developing the essay to polishing prose--is right here In the ninth edition, Wyrick updates and refines the book's successful approach, adding useful new discussions, readings, exercises, essay assignments, and visual images for analysis.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

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Publisher : CRC Press
ISBN 13 : 1000474739
Total Pages : 290 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by : Siddhartha Bhattacharyya

Download or read book Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2021-11-23 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

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Author :
Publisher : Springer Nature
ISBN 13 : 9811585342
Total Pages : 436 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by : Khalid Raza

Download or read book Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis written by Khalid Raza and published by Springer Nature. This book was released on 2020-10-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Computational Intelligence-based Time Series Analysis

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Publisher : CRC Press
ISBN 13 : 1000793818
Total Pages : 191 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Computational Intelligence-based Time Series Analysis by : Dinesh C. S. Bisht

Download or read book Computational Intelligence-based Time Series Analysis written by Dinesh C. S. Bisht and published by CRC Press. This book was released on 2022-11-30 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, large size and updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set, and is basically a series of data points well-organized in time. Time series forecasting is a significant area of machine learning. There are various prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a developing computing approach for the forthcoming several years. CI gives the litheness to model the problem according to given requirements. It helps to find swift solutions to the problems arising in numerous disciplines. These methods mimic human behavior. The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are not modelled or are too difficult to model mathematically. This book aims to cover the recent advances in time series and applications of CI for time series analysis.

Computational Intelligence Applications in Modeling and Control

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Publisher : Springer
ISBN 13 : 3319110179
Total Pages : 434 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Computational Intelligence Applications in Modeling and Control by : Ahmad Taher Azar

Download or read book Computational Intelligence Applications in Modeling and Control written by Ahmad Taher Azar and published by Springer. This book was released on 2014-12-26 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to chapters offering practical solutions and novel methods for the recent research problems in the main areas of this book, viz. Control Systems, Modeling, Computer Science, IT and engineering applications. This book will serve as a reference book for graduate students and researchers with a basic knowledge of control theory, computer science and soft-computing techniques. The resulting design procedures are emphasized using Matlab/Simulink software.

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

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Publisher : Springer Nature
ISBN 13 : 3031383257
Total Pages : 597 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications by : Gilberto Rivera

Download or read book Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications written by Gilberto Rivera and published by Springer Nature. This book was released on 2023-10-20 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

Understanding COVID-19: The Role of Computational Intelligence

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Publisher : Springer Nature
ISBN 13 : 3030747611
Total Pages : 569 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Understanding COVID-19: The Role of Computational Intelligence by : Janmenjoy Nayak

Download or read book Understanding COVID-19: The Role of Computational Intelligence written by Janmenjoy Nayak and published by Springer Nature. This book was released on 2021-07-27 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.

Computational Intelligence Techniques in Earth and Environmental Sciences

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Publisher : Springer Science & Business Media
ISBN 13 : 9401786429
Total Pages : 275 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Computational Intelligence Techniques in Earth and Environmental Sciences by : Tanvir Islam

Download or read book Computational Intelligence Techniques in Earth and Environmental Sciences written by Tanvir Islam and published by Springer Science & Business Media. This book was released on 2014-02-14 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence techniques have enjoyed growing interest in recent decades among the earth and environmental science research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward a sustainable earth. This book compiles a collection of recent developments and rigorous applications of computational intelligence in these disciplines. Techniques covered include artificial neural networks, support vector machines, fuzzy logic, decision-making algorithms, supervised and unsupervised classification algorithms, probabilistic computing, hybrid methods and morphic computing. Further topics given treatment in this volume include remote sensing, meteorology, atmospheric and oceanic modeling, climate change, environmental engineering and management, catastrophic natural hazards, air and environmental pollution and water quality. By linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities among scientists and technicians working in areas such as data mining and machine learning. We believe that a diverse group of academics, scientists, environmentalists, meteorologists and computing experts with a common interest in computational intelligence techniques within the earth and environmental sciences will find this book to be of great value.

Computational Intelligence and Informatics

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Publisher : Springer Science & Business Media
ISBN 13 : 3642152198
Total Pages : 347 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Computational Intelligence and Informatics by : Imre J. Rudas

Download or read book Computational Intelligence and Informatics written by Imre J. Rudas and published by Springer Science & Business Media. This book was released on 2010-10 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains a careful selection of papers that are based on and are extensions of corresponding lectures presented at the jubilee conference. The main subject area called Computational Intelligence includes diverse topics. Therefore, we offer snapshots rather than a full coverage of a small particular subject to the interested reader. This principle is also supported by the common national root of the authors.

Computational Intelligence and Its Applications

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Publisher : World Scientific
ISBN 13 : 1848166915
Total Pages : 318 pages
Book Rating : 4.8/5 (481 download)

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Book Synopsis Computational Intelligence and Its Applications by : H. K. Lam

Download or read book Computational Intelligence and Its Applications written by H. K. Lam and published by World Scientific. This book was released on 2012 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on computational intelligence techniques and their applications -- fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches.

Computational Intelligence Techniques for Trading and Investment

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Publisher : Routledge
ISBN 13 : 1136195106
Total Pages : 236 pages
Book Rating : 4.1/5 (361 download)

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Book Synopsis Computational Intelligence Techniques for Trading and Investment by : Christian Dunis

Download or read book Computational Intelligence Techniques for Trading and Investment written by Christian Dunis and published by Routledge. This book was released on 2014-03-26 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence, a sub-branch of artificial intelligence, is a field which draws on the natural world and adaptive mechanisms in order to study behaviour in changing complex environments. This book provides an interdisciplinary view of current technological advances and challenges concerning the application of computational intelligence techniques to financial time-series forecasting, trading and investment. The book is divided into five parts. The first part introduces the most important computational intelligence and financial trading concepts, while also presenting the most important methodologies from these different domains. The second part is devoted to the application of traditional computational intelligence techniques to the fields of financial forecasting and trading, and the third part explores the applications of artificial neural networks in these domains. The fourth part delves into novel evolutionary-based hybrid methodologies for trading and portfolio management, while the fifth part presents the applications of advanced computational intelligence modelling techniques in financial forecasting and trading. This volume will be useful for graduate and postgraduate students of finance, computational finance, financial engineering and computer science. Practitioners, traders and financial analysts will also benefit from this book.