Applied Mathematics And Computational Intelligence

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Applied Mathematics and Computational Intelligence

Oscar Castillo,Uttam Kumar Bera,Dipak Kumar Jana
Applied Mathematics and Computational Intelligence Book PDF

Author : Oscar Castillo,Uttam Kumar Bera,Dipak Kumar Jana
Publisher : Springer Nature
Page : 254 pages
File Size : 49,8 Mb
Release : 2023-05-23
Category : Mathematics
ISBN : 9789811981944

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Applied Mathematics and Computational Intelligence by Oscar Castillo,Uttam Kumar Bera,Dipak Kumar Jana Pdf

This book contains select papers presented at the International Conference on Applied Mathematics and Computational Intelligence (ICAMCI-2020), held at the National Institute of Technology Agartala, Tripura, India, from 19–20 March 2020. It discusses the most recent breakthroughs in intelligent techniques such as fuzzy logic, neural networks, optimization algorithms, and their application in the development of intelligent information systems by using applied mathematics. The book also explains how these systems will be used in domains such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and complicated problems in optimization. The book publishes new developments and advances in various areas of type-3 fuzzy, intuitionistic fuzzy, computational mathematics, block chain, creak analysis, supply chain, soft computing, fuzzy systems, hybrid intelligent systems, thermos-elasticity, etc. The book is targeted to researchers, scientists, professors, and students of mathematics, computer science, applied science and engineering, interested in the theory and applications of intelligent systems in real-world applications. It provides young researchers and students with new directions for their future study by exchanging fresh thoughts and finding new problems.

Applied Mathematics and Computational Intelligence

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

Author : Anna M. Gil-Lafuente,José M. Merigó,Bal Kishan Dass,Rajkumar Verma
Publisher : Springer
Page : 428 pages
File Size : 49,9 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.

Artificial Intelligence and Applied Mathematics in Engineering Problems

D. Jude Hemanth,Utku Kose
Artificial Intelligence and Applied Mathematics in Engineering Problems Book PDF

Author : D. Jude Hemanth,Utku Kose
Publisher : Springer Nature
Page : 1105 pages
File Size : 51,7 Mb
Release : 2020-01-03
Category : Technology & Engineering
ISBN : 9783030361785

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Artificial Intelligence and Applied Mathematics in Engineering Problems by D. Jude Hemanth,Utku Kose Pdf

This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the book focuses on problems in engineering and discusses research using artificial intelligence and applied mathematics. Intended for scientists, experts, M.Sc. and Ph.D. students, postdocs and anyone interested in the subjects covered, the book can also be used as a reference resource for courses related to artificial intelligence and applied mathematics.

Recent Advances in Intelligent Information Systems and Applied Mathematics

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

Author : Oscar Castillo,Dipak Kumar Jana,Debasis Giri,Arif Ahmed
Publisher : Springer Nature
Page : 903 pages
File Size : 53,9 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.

Mathematical Modeling and Computational Intelligence in Engineering Applications

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

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.

Applied Mathematics for Restructured Electric Power Systems

Joe H. Chow,Felix F. Wu,James A. Momoh
Applied Mathematics for Restructured Electric Power Systems Book PDF

Author : Joe H. Chow,Felix F. Wu,James A. Momoh
Publisher : Springer Science & Business Media
Page : 345 pages
File Size : 46,6 Mb
Release : 2006-06-03
Category : Technology & Engineering
ISBN : 9780387234717

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Applied Mathematics for Restructured Electric Power Systems by Joe H. Chow,Felix F. Wu,James A. Momoh Pdf

Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.

Foundations of Computational Intelligence Volume 5

Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Foundations of Computational Intelligence Volume 5 Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel
Publisher : Springer
Page : 376 pages
File Size : 45,6 Mb
Release : 2009-07-11
Category : Technology & Engineering
ISBN : 9783642015366

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Foundations of Computational Intelligence Volume 5 by Ajith Abraham,Aboul-Ella Hassanien,Vaclav Snášel Pdf

Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification – Theoretical Foundations Part-II: Function Approximation and Classification – Success Stories and Real World Applications Part I on Function Approximation and Classification – Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 “Feature Selection for Partial Least Square Based Dimension Red- tion” by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets.

Computational Intelligence in Emerging Technologies for Engineering Applications

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

Author : Orestes Llanes Santiago,Carlos Cruz Corona,Antônio José Silva Neto,José Luis Verdegay
Publisher : Springer Nature
Page : 301 pages
File Size : 53,9 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

Dinesh C.S. Bisht,Mangey Ram
Computational Intelligence Book PDF

Author : Dinesh C.S. Bisht,Mangey Ram
Publisher : Walter de Gruyter GmbH & Co KG
Page : 280 pages
File Size : 42,8 Mb
Release : 2020-08-10
Category : Technology & Engineering
ISBN : 9783110671353

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Computational Intelligence by Dinesh C.S. Bisht,Mangey Ram Pdf

Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

Foundations of Computational Intelligence Volume 3

Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht
Foundations of Computational Intelligence Volume 3 Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht
Publisher : Springer Science & Business Media
Page : 531 pages
File Size : 41,7 Mb
Release : 2009-04-27
Category : Computers
ISBN : 9783642010842

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Foundations of Computational Intelligence Volume 3 by Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht Pdf

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems. This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.

Applied Mathematics and Computational Physics

Aihua Wood
Applied Mathematics and Computational Physics Book PDF

Author : Aihua Wood
Publisher : Mdpi AG
Page : 274 pages
File Size : 47,9 Mb
Release : 2021-11-08
Category : Mathematics
ISBN : 3036523057

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Applied Mathematics and Computational Physics by Aihua Wood Pdf

As faster and more efficient numerical algorithms become available, the understanding of the physics and the mathematical foundation behind these new methods will play an increasingly important role. This Special Issue provides a platform for researchers from both academia and industry to present their novel computational methods that have engineering and physics applications.

Advanced Computing in Industrial Mathematics

Krassimir Georgiev,Michail Todorov,Ivan Georgiev
Advanced Computing in Industrial Mathematics Book PDF

Author : Krassimir Georgiev,Michail Todorov,Ivan Georgiev
Publisher : Springer
Page : 446 pages
File Size : 40,6 Mb
Release : 2018-09-27
Category : Technology & Engineering
ISBN : 9783319972770

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Advanced Computing in Industrial Mathematics by Krassimir Georgiev,Michail Todorov,Ivan Georgiev Pdf

This book gathers the peer-reviewed proceedings of the 12th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM’17, held in Sofia, Bulgaria, in December 2017. The general theme of BGSIAM’17 was industrial and applied mathematics, with a particular focus on: high-performance computing, numerical methods and algorithms, analysis of partial differential equations and their applications, mathematical biology, control and uncertain systems, stochastic models, molecular dynamics, neural networks, genetic algorithms, metaheuristics for optimization problems, generalized nets, and Big Data.

Applied Mathematics and Computational Intelligence

Oscar Castillo,Uttam Kumar Bera,Dipak Kumar Jana
Applied Mathematics and Computational Intelligence Book PDF

Author : Oscar Castillo,Uttam Kumar Bera,Dipak Kumar Jana
Publisher : Unknown
Page : 0 pages
File Size : 51,5 Mb
Release : 2023
Category : Electronic
ISBN : 9811981965

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Applied Mathematics and Computational Intelligence by Oscar Castillo,Uttam Kumar Bera,Dipak Kumar Jana Pdf

This book contains select papers presented at the International Conference on Applied Mathematics and Computational Intelligence (ICAMCI-2020), held at the National Institute of Technology Agartala, Tripura, India, from 19-20 March 2020. It discusses the most recent breakthroughs in intelligent techniques such as fuzzy logic, neural networks, optimization algorithms, and their application in the development of intelligent information systems by using applied mathematics. The book also explains how these systems will be used in domains such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and complicated problems in optimization. The book publishes new developments and advances in various areas of type-3 fuzzy, intuitionistic fuzzy, computational mathematics, block chain, creak analysis, supply chain, soft computing, fuzzy systems, hybrid intelligent systems, thermos-elasticity, etc. The book is targeted to researchers, scientists, professors, and students of mathematics, computer science, applied science and engineering, interested in the theory and applications of intelligent systems in real-world applications. It provides young researchers and students with new directions for their future study by exchanging fresh thoughts and finding new problems.

Applied Computational Intelligence

Da Ruan
Applied Computational Intelligence Book PDF

Author : Da Ruan
Publisher : World Scientific
Page : 709 pages
File Size : 53,7 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

Soft Numerical Computing in Uncertain Dynamic Systems

Tofigh Allahviranloo,Witold Pedrycz
Soft Numerical Computing in Uncertain Dynamic Systems Book PDF

Author : Tofigh Allahviranloo,Witold Pedrycz
Publisher : Academic Press
Page : 390 pages
File Size : 53,6 Mb
Release : 2020-08-19
Category : Computers
ISBN : 9780128229941

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Soft Numerical Computing in Uncertain Dynamic Systems by Tofigh Allahviranloo,Witold Pedrycz Pdf

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students. One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily—sometimes they are impossible to solve. Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix. Explores dynamic models, how time is fundamental to the structure of the model and data, and how a process unfolds Investigates the dynamic relationships between multiple components of a system in modeling using mathematical models and the concept of stability in uncertain environments Exposes readers to many soft numerical methods to simulate the solution function’s behavior