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Mathematical Modelling And Computational Intelligence Techniques


Mathematical Modelling And Computational Intelligence Techniques
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Mathematical Modeling Computational Intelligence Techniques And Renewable Energy


Mathematical Modeling Computational Intelligence Techniques And Renewable Energy
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Author : Manoj Sahni
language : en
Publisher: Springer Nature
Release Date : 2021-02-28

Mathematical Modeling Computational Intelligence Techniques And Renewable Energy written by Manoj Sahni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-28 with Technology & Engineering categories.


This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy,” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics, Institution of Engineers (IEI) – Gujarat and Computer Society of India (CSI) – Ahmedabad. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.



Mathematical Modelling And Computational Intelligence Techniques


Mathematical Modelling And Computational Intelligence Techniques
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Author : P. Balasubramaniam
language : en
Publisher: Springer Nature
Release Date : 2022-01-13

Mathematical Modelling And Computational Intelligence Techniques written by P. Balasubramaniam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Mathematics categories.


This book collects papers presented at the International Conference on Mathematical Modelling and Computational Intelligence Techniques (ICMMCIT) 2021, held at the Department of Mathematics, The Gandhigram Rural Institute (Deemed to be University), Gandhigram, Tamil Nadu, India, from 10–12 February 2021. Significant contributions from renowned researchers from fields of applied analysis, mathematical modelling and computing techniques have been received for this conference. Chapters emphasize on the research of computational nature focusing on new algorithms, their analysis and numerical results, as well as applications in physical, biological, social, and behavioural sciences. The accepted papers are organized in topical sections as mathematical modelling, image processing, control theory, graphs and networks, and inventory control.



Mathematical Modeling Computational Intelligence Techniques And Renewable Energy


Mathematical Modeling Computational Intelligence Techniques And Renewable Energy
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Author : Manoj Sahni
language : en
Publisher: Springer Nature
Release Date : 2021-12-11

Mathematical Modeling Computational Intelligence Techniques And Renewable Energy written by Manoj Sahni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-11 with Technology & Engineering categories.


This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.



Mathematical Modeling Computational Intelligence Techniques And Renewable Energy


Mathematical Modeling Computational Intelligence Techniques And Renewable Energy
DOWNLOAD
Author : Manoj Sahni
language : en
Publisher: Springer Nature
Release Date : 2023-05-08

Mathematical Modeling Computational Intelligence Techniques And Renewable Energy written by Manoj Sahni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-08 with Technology & Engineering categories.


The book is a collection of best selected research papers presented at the Third International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2022),” organized by the University of Technology Sydney, Australia, in association with the Department of Mathematics, Pandit Deendayal Energy University, India, and Forum for Interdisciplinary Mathematics. This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and intelligent computing. The book provides innovative works of researchers, academicians and students in the area of interdisciplinary mathematics, statistics, computational intelligence and renewable energy.



Mathematical Modeling And Computational Intelligence In Engineering Applications


Mathematical Modeling And Computational Intelligence In Engineering Applications
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Author : Antônio José da Silva Neto
language : en
Publisher: Springer
Release Date : 2016-08-12

Mathematical Modeling And Computational Intelligence In Engineering Applications written by Antônio José da Silva Neto and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-12 with Mathematics categories.


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 And Computational Intelligence


Applied Mathematics And Computational Intelligence
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Author : Anna M. Gil-Lafuente
language : en
Publisher: Springer
Release Date : 2018-03-06

Applied Mathematics And Computational Intelligence written by Anna M. Gil-Lafuente and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Technology & Engineering categories.


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.



Computational Statistical Methodologies And Modeling For Artificial Intelligence


Computational Statistical Methodologies And Modeling For Artificial Intelligence
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Author : Priyanka Harjule
language : en
Publisher: CRC Press
Release Date : 2023-03-31

Computational Statistical Methodologies And Modeling For Artificial Intelligence written by Priyanka Harjule and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.


This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence



Finite Element Model Updating Using Computational Intelligence Techniques


Finite Element Model Updating Using Computational Intelligence Techniques
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Author : Tshilidzi Marwala
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-06-04

Finite Element Model Updating Using Computational Intelligence Techniques written by Tshilidzi Marwala and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-04 with Technology & Engineering categories.


FEM updating allows FEMs to be tuned better to reflect measured data. It can be conducted using two different statistical frameworks: the maximum likelihood approach and Bayesian approaches. This book applies both strategies to the field of structural mechanics, using vibration data. Computational intelligence techniques including: multi-layer perceptron neural networks; particle swarm and GA-based optimization methods; simulated annealing; response surface methods; and expectation maximization algorithms, are proposed to facilitate the updating process. Based on these methods, the most appropriate updated FEM is selected, a problem that traditional FEM updating has not addressed. This is found to incorporate engineering judgment into finite elements through the formulations of prior distributions. Case studies, demonstrating the principles test the viability of the approaches, and. by critically analysing the state of the art in FEM updating, this book identifies new research directions.



Computational Intelligence And Mathematics For Tackling Complex Problems 4


Computational Intelligence And Mathematics For Tackling Complex Problems 4
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Author : María Eugenia Cornejo
language : en
Publisher: Springer Nature
Release Date : 2022-09-20

Computational Intelligence And Mathematics For Tackling Complex Problems 4 written by María Eugenia Cornejo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-20 with Technology & Engineering categories.


The recent book of the series continues the collection of articles dealing with the important and efficient combination of traditional and novel mathematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic. Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the practice, such problems are usually manageable with an acceptable quality by human experts? They apply expert domain knowledge and various methods of approximate modeling and corresponding algorithms. Computational intelligence is the mathematical tool box that collects techniques which are able to model such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve “unsolvable” problems.



Advanced Mathematical Techniques In Computational And Intelligent Systems


Advanced Mathematical Techniques In Computational And Intelligent Systems
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Author : Sandeep Singh (Mathematician)
language : en
Publisher:
Release Date : 2023-11

Advanced Mathematical Techniques In Computational And Intelligent Systems written by Sandeep Singh (Mathematician) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11 with Artificial intelligence categories.


"The book showcases how optimization techniques, computational intelligence, other mathematical techniques, and models have been successfully applied to solve real-world industrial optimization problems. It further covers the factors that influence the reliability of the equipment/system which include intrinsic and extrinsic factors. It highlights physical system problems and their solution using partial differential equations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics"--