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Fuzzy Machine Learning: Advanced Approaches to Solve Optimization Problems, Arindam Chaudhuri


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Автор: Arindam Chaudhuri
Название:  Fuzzy Machine Learning: Advanced Approaches to Solve Optimization Problems
ISBN: 9783110603880
Издательство: Walter de Gruyter
Классификация: ISBN-10: 3110603888
Обложка/Формат: Ebook
Страницы: 150
Вес: 0.00 кг.
Дата издания: 01.01.2021
Серия: Computing & IT
Язык: English
Читательская аудитория: Professional and scholarly
Ключевые слова: Artificial intelligence,Automatic control engineering,Computer science,Electrical engineering, COMPUTERS / Information Theory,COMPUTERS / Intelligence (AI) & Semantics,MATHEMATICS / Optimization,TECHNOLOGY & ENGINEERING / Automation
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Поставляется из: Германии
Описание:

The continuous increase in demand towards lowering production costs to withstand cutthroat competition has prompted researchers to look for rigorous methods of decision making. As search for best has always fascinated mankind, operations or strategies have been attempted and devised for searching optimum solutions for variety of problems in all branches of activities perceived by logic or intitution or both. With this motivation in this work novel fuzzy machine learning algorithms are proposed to develop optimum solutions for several optimization problems. The emphasis of proposed methodologies is given on handling data sets which are large both in size and dimension and involves classes that are overlapping, intractable and have non-linear boundaries. Several strategies based on data reduction, dimensionality reduction, active learning efficient search heuristics are employed for dealing with scaling issues The problems handle linguistic input and ambiguous output decision, learning of overlapping and intractable class structures, selection of optimal parameters and discovering human comprehensible knowledge in form of linguistic rules. The different features of methodologies along with comparisons with those of related ones are demonstrated extensively on different real life data sets. The experimental data have been considered from variety of domains. The superiority of models over the benchmark are found to be effective and significant.

This book is generally suited for bachelor, master and research students working for courses in engineering optimization, operations research and operations management. It will also be immensely beneficial to industry professions as well as to scientists and postdocs working at research institutes working in abovementioned domains. The prima face of this book is to highlight certain insights and findings for some important optimization problems over the period of past 10 years. All the proposed algorithms are of continuous evolving nature. The problems considered here include traveling salesman problem, transportation problem, non-convex optimization, dynamic programming, strategic games, resource allocation problem and job assignment problems. The solutions of these problems are developed using machine learning approaches by integrating fuzzy logic, neural networks, deep learning, and genetic algorithms.

Table of contents

  1. Introduction
  2. Mathematical Foundations: Optimization and Fuzzy Machine Learning
  3. Hieararchical Fuzzy Self Organizing Map for Traveling Salesman Problem
  4. Transportation Problem through Probalistic and Fuzzy Uncertainties
  5. Hierarchical Fuzzy Deep Learning for Strategic Game Theory Problem
  6. Fuzziness in Non-Convex Optimization
  7. Fuzziness in Dynamic Programming
  8. Fuzzy Multi-Objective Optimization for Resource Allocation Problem
  9. Hierarchical Fuzzy Deep Learning for Job Assignment Problems




Optimization Approaches for Solving String Selection Problems

Автор: Elisa Pappalardo; Panos M. Pardalos; Giovanni Stra
Название: Optimization Approaches for Solving String Selection Problems
ISBN: 1461490529 ISBN-13(EAN): 9781461490524
Издательство: Springer
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Цена: 6986.00 р.
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Описание: Optimization Approaches for Solving String Selection Problems provides an overview of optimization methods for a wide class of genomics-related problems in relation to the string selection problems.

Advances In Combinatorial Optimization: Linear Programming Formulations Of The Traveling Salesman And Other Hard Combinatorial Optimization Problems

Автор: Diaby Moustapha Et Al
Название: Advances In Combinatorial Optimization: Linear Programming Formulations Of The Traveling Salesman And Other Hard Combinatorial Optimization Problems
ISBN: 9814704873 ISBN-13(EAN): 9789814704878
Издательство: World Scientific Publishing
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Цена: 13939.00 р.
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Описание:

Combinational optimization (CO) is a topic in applied mathematics, decision science and computer science that consists of finding the best solution from a non-exhaustive search. CO is related to disciplines such as computational complexity theory and algorithm theory, and has important applications in fields such as operations research/management science, artificial intelligence, machine learning, and software engineering.

Advances in Combinatorial Optimization presents a generalized framework for formulating hard combinatorial optimization problems (COPs) as polynomial sized linear programs. Though developed based on the 'traveling salesman problem' (TSP), the framework allows for the formulating of many of the well-known NP-Complete COPs directly (without the need to reduce them to other COPs) as linear programs, and demonstrates the same for three other problems (e.g. the 'vertex coloring problem' (VCP)). This work also represents a proof of the equality of the complexity classes "P" (polynomial time) and "NP" (nondeterministic polynomial time), and makes a contribution to the theory and application of 'extended formulations' (EFs).

On a whole, Advances in Combinatorial Optimization offers new modeling and solution perspectives which will be useful to professionals, graduate students and researchers who are either involved in routing, scheduling and sequencing decision-making in particular, or in dealing with the theory of computing in general.

Machine Learning: The Complete Step-By-Step Guide To Learning and Understanding Machine Learning From Beginners, Intermediate Advanced,

Автор: Bradley Peter
Название: Machine Learning: The Complete Step-By-Step Guide To Learning and Understanding Machine Learning From Beginners, Intermediate Advanced,
ISBN: 1798105012 ISBN-13(EAN): 9781798105016
Издательство: Неизвестно
Цена: 2628.00 р.
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Mathematical Modelling and Optimization of Engineering Problems

Автор: Jose? Anto?nio Tenreiro Machado
Название: Mathematical Modelling and Optimization of Engineering Problems
ISBN: 3030370615 ISBN-13(EAN): 9783030370619
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents recent developments in modelling and optimization of engineering systems and the use of advanced mathematical methods for solving complex real-world problems.

Understanding Therapy: How Different Approaches Solve Real-World Problems

Автор: Nydegger Rudy
Название: Understanding Therapy: How Different Approaches Solve Real-World Problems
ISBN: 1440865086 ISBN-13(EAN): 9781440865084
Издательство: Bloomsbury
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Цена: 8019.00 р.
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Описание:

Therapy and counseling have proved beneficial for tens of millions of Americans, whether to address a serious mental illness or for more everyday issues such as troubled relationships, stress, or grief. Studies suggest that approximately 80 percent of people who receive therapy find it beneficial. A number of effective schools of psychotherapy are available today, and each has its own approach, strengths, and weaknesses.

Understanding Therapy: How Different Approaches Solve Real-World Problems explores different forms of psychotherapy using clear, non-technical language and a reader-friendly format. Part I provides important foundational information, including the historical development of psychotherapy, common misconceptions, and types of therapists. Each chapter in Part II profiles a different group of therapies, highlighting each one's history, key founders and proponents, tenets, and potential advantages and disadvantages. Part III features a series of real-world situations for which someone might seek therapy and illustrates how several different forms of therapy would address the problem. Readers will be able to compare and contrast these methods, learning how different types of therapy tackle the same issue in varying ways.

Introduction to Applied Linear Algebra

Автор: Boyd Stephen
Название: Introduction to Applied Linear Algebra
ISBN: 1316518965 ISBN-13(EAN): 9781316518960
Издательство: Cambridge Academ
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Цена: 6811.00 р.
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Описание: A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.

Metaheuristic Approaches to Portfolio Optimization

Автор: Jhuma Ray, Anirban Mukherjee, Sadhan Kumar Dey, Goran Klepac
Название: Metaheuristic Approaches to Portfolio Optimization
ISBN: 1522581030 ISBN-13(EAN): 9781522581031
Издательство: Mare Nostrum (Eurospan)
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Цена: 27581.00 р.
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Описание: Control of an impartial balance between risks and returns has become important for investors, and having a combination of financial instruments within a portfolio is an advantage. Portfolio management has thus become very important for reaching a resolution in high-risk investment opportunities and addressing the risk-reward tradeoff by maximizing returns and minimizing risks within a given investment period for a variety of assets.

Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. It also explores common measures used for the evaluation of risks/returns of portfolios in real-life situations. Featuring research on topics such as closed-end funds, asset allocation, and risk-return paradigm, this book is ideally designed for investors, financial professionals, money managers, accountants, students, professionals, and researchers.

Advanced Fuzzy Logic Approaches in Engineering Science

Автор: Mangey Ram
Название: Advanced Fuzzy Logic Approaches in Engineering Science
ISBN: 1522557091 ISBN-13(EAN): 9781522557098
Издательство: Mare Nostrum (Eurospan)
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Цена: 30723.00 р.
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Описание: Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity.Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

Green Services Engineering, Optimization, And Modeling In The Technological Age

Автор: Liu & Li
Название: Green Services Engineering, Optimization, And Modeling In The Technological Age
ISBN: 146668447X ISBN-13(EAN): 9781466684478
Издательство: Mare Nostrum (Eurospan)
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Цена: 32848.00 р.
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Описание: Concerns surrounding environmental sustainability have led to an increase of interest in environmentally-friendly systems. In the ICT realm, attention has been largely paid to green aspects of hardware; however, it is equally necessary to address this issue from the software perspective.Green Services Engineering, Optimization, and Modeling in the Technological Age is a valuable reference source of the latest scholarly research on the implementation of green processes into software systems, contributing novel principles, methodologies, and tools to improve software development. Featuring comprehensive and timely coverage on various areas in service strategy and modeling, engineering, and sustainability, this publication is a pivotal reference source for researchers, practitioners, advanced-level students, and end users in the software development realm.

Machine Learning Approaches in Cyber Security Analytics

Автор: Tony Thomas
Название: Machine Learning Approaches in Cyber Security Analytics
ISBN: 9811517053 ISBN-13(EAN): 9789811517051
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts.

Computational Intelligence in Expensive Optimization Problems

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642263186 ISBN-13(EAN): 9783642263187
Издательство: Springer
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Цена: 39182.00 р.
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Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Автор: Peng-Yeng Yin
Название: Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches
ISBN: 1466621451 ISBN-13(EAN): 9781466621459
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.


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