Applied Computational Intelligence And Mathematical Methods

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Applied Computational Intelligence and Mathematical Methods

Author : Radek Silhavy,Petr Silhavy,Zdenka Prokopova
Publisher : Springer
Page : 394 pages
File Size : 44,5 Mb
Release : 2017-09-04
Category : Technology & Engineering
ISBN : 9783319676210

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Applied Computational Intelligence and Mathematical Methods by Radek Silhavy,Petr Silhavy,Zdenka Prokopova Pdf

The book discusses real-world problems and exploratory research in computational intelligence and mathematical models. It brings new approaches and methods to real-world problems and exploratory research that describes novel approaches in the mathematical methods, computational intelligence methods and software engineering in the scope of the intelligent systems. This book constitutes the refereed proceedings of the Computational Methods in Systems and Software 2017, a conference that provided an international forum for the discussion of the latest high-quality research results in all areas related to computational methods, statistics, cybernetics and software engineering.

Applied Mathematics and Computational Intelligence

Author : Anna M. Gil-Lafuente,José M. Merigó,Bal Kishan Dass,Rajkumar Verma
Publisher : Springer
Page : 428 pages
File Size : 53,8 Mb
Release : 2018-03-06
Category : Technology & Engineering
ISBN : 9783319757926

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Applied Mathematics and Computational Intelligence by Anna M. Gil-Lafuente,José M. Merigó,Bal Kishan Dass,Rajkumar Verma Pdf

This book gathers selected papers presented at the conference of the Forum for Interdisciplinary Mathematics (FIM), held at Palau Macaya, Barcelona, on 18 to 20 November, 2015. The event was co-organized by the University of Barcelona (Spain), the Spanish Royal Academy of Economic and Financial Sciences (Spain) and the Forum for Interdisciplinary Mathematics (India). This instalment of the conference was presented with the title “Applied Mathematics and Computational Intelligence” and particularly focused on the use of Mathematics and Computational Intelligence techniques in a diverse range of scientific disciplines, as well as their applications in real-world problems. The book presents thirty peer-reviewed research papers, organised into four topical sections: on Mathematical Foundations; Computational Intelligence and Optimization Techniques; Modelling and Simulation Techniques; and Applications in Business and Engineering. This book will be of great interest to anyone working in the area of applied mathematics and computational intelligence and will be especially useful for scientists and graduate students pursuing research in these fields.

Applied Computational Intelligence

Author : Da Ruan
Publisher : World Scientific
Page : 709 pages
File Size : 46,6 Mb
Release : 2004
Category : Computers
ISBN : 9789812388735

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Applied Computational Intelligence by Da Ruan Pdf

- Investigation of new developments and technical limits on applied computational intelligence - Demonstration of added value of applied computational intelligence - Presentation of direct and potential real world applications of applied computational intelligence

Mathematical Modeling and Computational Intelligence in Engineering Applications

Author : Antônio José da Silva Neto,Orestes Llanes Santiago,Geraldo Nunes Silva
Publisher : Springer
Page : 179 pages
File Size : 51,9 Mb
Release : 2016-08-12
Category : Mathematics
ISBN : 9783319388694

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Mathematical Modeling and Computational Intelligence in Engineering Applications by Antônio José da Silva Neto,Orestes Llanes Santiago,Geraldo Nunes Silva Pdf

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

Computational Intelligence

Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
Page : 519 pages
File Size : 41,9 Mb
Release : 2008-05-29
Category : Mathematics
ISBN : 9783540762874

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Computational Intelligence by Leszek Rutkowski Pdf

This quite simply superb book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. These techniques are today commonly applied to issues of artificial intelligence. The book presents methods of knowledge representation using different techniques, namely the rough sets, type-1 fuzzy sets and type-2 fuzzy sets. Next up, various neural network architectures are presented and their learning algorithms are derived. Then, the family of evolutionary algorithms is discussed, including connections between these techniques and neural networks and fuzzy systems. Finally, various methods of data partitioning and algorithms of automatic data clustering are given and new neuro-fuzzy architectures are studied and compared.

Computational Intelligence in Emerging Technologies for Engineering Applications

Author : Orestes Llanes Santiago,Carlos Cruz Corona,Antônio José Silva Neto,José Luis Verdegay
Publisher : Springer Nature
Page : 301 pages
File Size : 51,5 Mb
Release : 2020-02-14
Category : Technology & Engineering
ISBN : 9783030344092

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Computational Intelligence in Emerging Technologies for Engineering Applications by Orestes Llanes Santiago,Carlos Cruz Corona,Antônio José Silva Neto,José Luis Verdegay Pdf

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

Computational Intelligence and Mathematics for Tackling Complex Problems

Author : László T Kóczy,Jesús Medina-Moreno,Eloísa Ramírez-Poussa,Alexander Šostak
Publisher : Springer
Page : 200 pages
File Size : 48,7 Mb
Release : 2019-05-02
Category : Technology & Engineering
ISBN : 9783030160241

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Computational Intelligence and Mathematics for Tackling Complex Problems by László T Kóczy,Jesús Medina-Moreno,Eloísa Ramírez-Poussa,Alexander Šostak Pdf

This book combines computational intelligence and mathematics to solve theoretical and real-world problems. The real challenges of engineering and other applied sciences, e.g. economics and management, the social sciences, etc., and even everyday life, are increasingly raising complex problems – both in the usual sense, but also in the mathematical and theoretical computer science sense, which is referred to as intractability. Finding exact solutions to the latest problems in mathematics is impossible, and it has been also shown that no further technical advance will ever make it possible to find general and exact solutions to such complex problems. Rather, the goal is to find solutions that are “good enough” or “acceptably accurate,” including models and corresponding algorithms, which is most often achieved by combining traditional mathematical techniques and computational intelligence tools, such as fuzzy systems, evolutionary and memetic algorithms, and artificial neural networks. Consequently, international funding programs, such as the European Commission’s current framework program for research and innovation (Horizon 2020), and the preliminary research team building COST Actions, are devoted to developing new instruments for tackling the challenges that we face in the current technological age. And it goes without saying that research topics concerning the interactions between computational intelligence and traditional mathematics play a key role in overcoming the obstacles associated with the intractability of complex problems. In this book, mathematicians, engineers, and other scientists highlight novel methodological results connecting these two main research areas, and focusing on solving real-life problems.

Interactions Between Computational Intelligence and Mathematics

Author : László T. Kóczy,Jesús Medina
Publisher : Unknown
Page : 119 pages
File Size : 43,6 Mb
Release : 2018
Category : Artificial intelligence
ISBN : 3319746820

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Interactions Between Computational Intelligence and Mathematics by László T. Kóczy,Jesús Medina Pdf

This book presents recent research in the field of interaction between computational intelligence and mathematics, ranging from theory to applications. Computational intelligence, or soft computing consists of various bio-inspired methods, especially fuzzy systems, artificial neural networks, evolutionary and memetic algorithms. These research areas were initiated by professionals in various applied fields, such as engineers, economists, and financial and medical experts. Although computational intelligence offered solutions (at least quasi-optimal solutions) for problems with high complexity, vague and undeterministic features, initially little attention was paid to the mathematical models and analysis of the methods successfully applied. A typical example is the extremely successful Mamdani-algorithm, and its modifications and extensions, applied since the mid-1970s, where the first analysis of the simplest cases, showing why this algorithm was so efficient and stable, was not given until the early 1990s. Since the mid-2000s, the authors have organized international conferences annually to focus on the mathematical methodological issues in connection with computational intelligence approaches. These conferences have attracted a large number of submissions with a wide scope of topics and quality. The editors selected several high-quality papers and approached the authors to submit an essentially extended and improved book chapter based on the lectures. This volume is the first contributed book on the subject.

Trends in Mathematics and Computational Intelligence

Author : María Eugenia Cornejo,László T. Kóczy,Jesús Medina,Antonio Eduardo De Barros Ruano
Publisher : Springer
Page : 204 pages
File Size : 48,5 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9783030004859

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Trends in Mathematics and Computational Intelligence by María Eugenia Cornejo,László T. Kóczy,Jesús Medina,Antonio Eduardo De Barros Ruano Pdf

This book presents appealing contributions on computational intelligence and mathematics, connecting both areas and offering solutions to a number of interesting, real-world problems. Such problems often require novel solutions, as complexity exceeds the tractable size. At the same time, the need for good-quality realistic solutions results in models and algorithms with a good balance of resource intensiveness and model quality (accuracy). Many areas of knowledge call for hybrid solutions that combine traditional mathematical techniques and computational intelligence based on subsymbolic knowledge representation. Important research topics are focused on developing the interaction between computational intelligence and mathematics, in order to address various challenges of the current technological age. Written by influential, leading researchers, this book discusses the latest trends in hybridising mathematics and computational intelligence.

Computational Intelligence and Mathematics for Tackling Complex Problems 3

Author : István Á. Harmati,László T. Kóczy,Jesús Medina,Eloísa Ramírez-Poussa
Publisher : Springer Nature
Page : 223 pages
File Size : 48,7 Mb
Release : 2021-08-25
Category : Technology & Engineering
ISBN : 9783030749705

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Computational Intelligence and Mathematics for Tackling Complex Problems 3 by István Á. Harmati,László T. Kóczy,Jesús Medina,Eloísa Ramírez-Poussa Pdf

Complex problems and systems, which prevail in the real world, cannot often be tackled and solved either by traditional methods offered by mathematics or even the traditional computer science (CS) and and artificial intelligence (AI)..). What is the way out of this dilemma? Advanced methodologies, and tools and techniques, „mimicking” human reasoning or the behavior of animals, animal populations or certain parts of the living bod, based on traditional computer science science and the initial approaches of artificial intelligence are often referred to as biologically inspired methods, or often computational intelligence (CI). Computational intelligence offers effective and efficient solutions to many „unsolvable" problems problems. However, it is far from being a ready to use and complete collection of approaches, and is rather a continuously developing field without clear borders. The emerging new models and algorithms of computational intelligence are deeply rooted in the vast apparatus of traditional mathematics. Thus, the investigation of connections and synergy between mathematics and computational intelligence is an eminent goal which is periodically pursued by a group of mathematicians and computational intelligence researchers who regularly attand the annual European Symposia on Computational Intelligence and Mathematics (ESCIM). Some relevant papers from the last ESCIM-2020 are included in this volume.

Mathematical Methods in Interdisciplinary Sciences

Author : Snehashish Chakraverty
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 55,6 Mb
Release : 2020-06-02
Category : Mathematics
ISBN : 9781119585619

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Mathematical Methods in Interdisciplinary Sciences by Snehashish Chakraverty Pdf

Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics. The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include: Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.

Applied Computational Intelligence

Author : M Sudha
Publisher : Educreation Publishing
Page : 126 pages
File Size : 46,8 Mb
Release : 2019-01-20
Category : Education
ISBN : 8210379456XXX

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Applied Computational Intelligence by M Sudha Pdf

Applied Computational Intelligence, presents comprehensive collection of algorithms, computational methods, implementation platform and experimental studies based on real world problems. Addresses the benefits of computational Intelligence in decision support. It will guide you with suitable examples on how to handle raw dataset and the methodologies of applied Computational Intelligence in today's challenging problems.

Recent Advances in Intelligent Information Systems and Applied Mathematics

Author : Oscar Castillo,Dipak Kumar Jana,Debasis Giri,Arif Ahmed
Publisher : Springer Nature
Page : 903 pages
File Size : 50,6 Mb
Release : 2020-01-31
Category : Technology & Engineering
ISBN : 9783030341527

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Recent Advances in Intelligent Information Systems and Applied Mathematics by Oscar Castillo,Dipak Kumar Jana,Debasis Giri,Arif Ahmed Pdf

This book describes the latest advances in intelligent techniques such as fuzzy logic, neural networks, and optimization algorithms, and their relevance in building intelligent information systems in combination with applied mathematics. The authors also outline the applications of these systems in areas like intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. By sharing fresh ideas and identifying new targets/problems it offers young researchers and students new directions for their future research. The book is intended for readers from mathematics and computer science, in particular professors and students working on theory and applications of intelligent systems for real-world applications.

New Challenges in Applied Intelligence Technologies

Author : Radoslaw Katarzyniak
Publisher : Springer Science & Business Media
Page : 394 pages
File Size : 44,8 Mb
Release : 2008-05-29
Category : Mathematics
ISBN : 9783540793540

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New Challenges in Applied Intelligence Technologies by Radoslaw Katarzyniak Pdf

To built intelligent systems that can cope with real world problems we need to - velop computational mechanisms able to deal with very large amounts of data, gen- ate complex plans, schedules, and resource allocation strategies, re-plan their actions in real time, provide user friendly communication for human-device interactions, and perform complex optimization problems. In each of these tasks intelligence techno- gies play an important role, providing designers and creators with effective and adequate computational models. The field of intelligence technologies covers a variety of computational approaches that are often suggested and inspired by biological systems, exhibiting functional richness and flexibility of their natural behavior. This class of technologies consists of such important approaches as data mining algorithms, neural networks, genetic al- rithms, fuzzy and multi-valued logics, rough sets, agent-oriented computation, often integrated into complex hybrid solutions. Intelligence technologies are used to built machines that can act and think like living systems, solve problems in an autonomous way, develop rich private knowledge bases and produce results not foreseen and programmed in a direct way by designers and creators.

Mathematical Methods and Applications for Artificial Intelligence and Computer Vision

Author : Ezequiel López-Rubio,Esteban J Palomo,Enrique Domínguez
Publisher : Mdpi AG
Page : 0 pages
File Size : 46,8 Mb
Release : 2024-01-25
Category : Computers
ISBN : 3725800618

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Mathematical Methods and Applications for Artificial Intelligence and Computer Vision by Ezequiel López-Rubio,Esteban J Palomo,Enrique Domínguez Pdf

This Reprint comprises all of the accepted articles published as part of the Special Issue "Mathematical Methods and Applications for Artificial Intelligence and Computer Vision". The aim of this Special Issue was to publish recent theoretical and applied studies in computational intelligence and related fields, with a particular focus on computer vision. Our goal was to inspire researchers in this community to further their research in the field of artificial intelligence and computer vision while also encouraging the exploration of their valuable applications across various fields and disciplines. We hope that the included papers will stimulate further research and development in the domains of artificial intelligence and computer vision.