Multidimensional Particle Swarm Optimization For Machine Learning And Pattern Recognition

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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Author : Serkan Kiranyaz
Publisher : Springer Science & Business Media
ISBN 13 : 3642378463
Total Pages : 343 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition by : Serkan Kiranyaz

Download or read book Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition written by Serkan Kiranyaz and published by Springer Science & Business Media. This book was released on 2013-07-16 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach. After an introduction to the key optimization techniques, the authors introduce their unified framework and demonstrate its advantages in challenging application domains, focusing on the state of the art of multidimensional extensions such as global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and personalized ECG classification, content-based image classification and retrieval, and evolutionary feature synthesis. The content is characterized by strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets. The book will be of benefit to researchers and practitioners working in the areas of machine intelligence, signal processing, pattern recognition, and data mining, or using principles from these areas in their application domains. It may also be used as a reference text for graduate courses on swarm optimization, data clustering and classification, content-based multimedia search, and biomedical signal processing applications.

Swarm Intelligence for Multi-objective Problems in Data Mining

Author : Carlos Coello Coello
Publisher : Springer Science & Business Media
ISBN 13 : 3642036244
Total Pages : 296 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Swarm Intelligence for Multi-objective Problems in Data Mining by : Carlos Coello Coello

Download or read book Swarm Intelligence for Multi-objective Problems in Data Mining written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2009-09-28 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining.

Advances in Swarm Intelligence, Part I

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3642215157
Total Pages : 668 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Swarm Intelligence, Part I by : Ying Tan

Download or read book Advances in Swarm Intelligence, Part I written by Ying Tan and published by Springer. This book was released on 2011-05-31 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.

Fractional Order Darwinian Particle Swarm Optimization

Author : Micael Couceiro
Publisher : Springer
ISBN 13 : 3319196359
Total Pages : 75 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Fractional Order Darwinian Particle Swarm Optimization by : Micael Couceiro

Download or read book Fractional Order Darwinian Particle Swarm Optimization written by Micael Couceiro and published by Springer. This book was released on 2015-06-16 with total page 75 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the bottom-up applicability of swarm intelligence to solving multiple problems, such as curve fitting, image segmentation, and swarm robotics. It compares the capabilities of some of the better-known bio-inspired optimization approaches, especially Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO) and the recently proposed Fractional Order Darwinian Particle Swarm Optimization (FODPSO), and comprehensively discusses their advantages and disadvantages. Further, it demonstrates the superiority and key advantages of using the FODPSO algorithm, such as its ability to provide an improved convergence towards a solution, while avoiding sub-optimality. This book offers a valuable resource for researchers in the fields of robotics, sports science, pattern recognition and machine learning, as well as for students of electrical engineering and computer science.

Advances in Swarm Intelligence, Part II

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3642215246
Total Pages : 611 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Swarm Intelligence, Part II by : Ying Tan

Download or read book Advances in Swarm Intelligence, Part II written by Ying Tan and published by Springer. This book was released on 2011-06-06 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.

Swarm Intelligence and Bio-Inspired Computation

Author : Shichang Sun
Publisher : Elsevier Inc. Chapters
ISBN 13 : 0128068922
Total Pages : 450 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Swarm Intelligence and Bio-Inspired Computation by : Shichang Sun

Download or read book Swarm Intelligence and Bio-Inspired Computation written by Shichang Sun and published by Elsevier Inc. Chapters. This book was released on 2013-05-16 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this chapter, we present the convergence analysis and applications of particle swarm optimization algorithm. Although it is difficult to analyze the convergence of this algorithm, we discuss its convergence based on its iterated function system and probabilistic theory. The dynamic trajectory of the particle is described based on single individual. We also attempt to theoretically prove that the swarm algorithm converges with a probability of 1 toward the global optimal. We apply the algorithms to solve the scheduling problem and peer-to-peer neighbor selection problem. This chapter is also concerned to employ the nature-inspired optimization methods in machine learning. We introduce the swarm algorithm to reoptimize hidden Markov models.

Optimization in Machine Learning and Applications

Author : Anand J. Kulkarni
Publisher : Springer Nature
ISBN 13 : 9811509948
Total Pages : 202 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Optimization in Machine Learning and Applications by : Anand J. Kulkarni

Download or read book Optimization in Machine Learning and Applications written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2019-11-29 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.

Advances in Swarm Intelligence, Part I

Author : Ying Tan
Publisher : Springer Science & Business Media
ISBN 13 : 3642215149
Total Pages : 668 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Swarm Intelligence, Part I by : Ying Tan

Download or read book Advances in Swarm Intelligence, Part I written by Ying Tan and published by Springer Science & Business Media. This book was released on 2011-05-26 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.

Design of a superconducting DC wind generator

Author : Liu, Yingzhen
Publisher : KIT Scientific Publishing
ISBN 13 : 373150796X
Total Pages : 228 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Design of a superconducting DC wind generator by : Liu, Yingzhen

Download or read book Design of a superconducting DC wind generator written by Liu, Yingzhen and published by KIT Scientific Publishing. This book was released on 2020-11-18 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: The trend towards larger power ratings of wind turbines asks for innovations in power generation, which requires lower weight and cost, smaller size, higher efficiency and reliability. Due to high current-carrying capability and no DC losses of superconductors, a superconducting wind generator can have a superior power to weight/volume ratio with high efficiency. The work in the book mainly focuses on the feasibility study and design of a superconducting DC wind generator.

Fundamentals of Computational Intelligence

Author : James M. Keller
Publisher : John Wiley & Sons
ISBN 13 : 1119214351
Total Pages : 378 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Fundamentals of Computational Intelligence by : James M. Keller

Download or read book Fundamentals of Computational Intelligence written by James M. Keller and published by John Wiley & Sons. This book was released on 2016-07-12 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

Handbook of Research on Artificial Intelligence Techniques and Algorithms

Author : Vasant, Pandian
Publisher : IGI Global
ISBN 13 : 1466672595
Total Pages : 873 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Artificial Intelligence Techniques and Algorithms by : Vasant, Pandian

Download or read book Handbook of Research on Artificial Intelligence Techniques and Algorithms written by Vasant, Pandian and published by IGI Global. This book was released on 2014-11-30 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Development in Wastewater Treatment Research and Processes

Author : Maulin P. Shah
Publisher : Elsevier
ISBN 13 : 0323956572
Total Pages : 394 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Development in Wastewater Treatment Research and Processes by : Maulin P. Shah

Download or read book Development in Wastewater Treatment Research and Processes written by Maulin P. Shah and published by Elsevier. This book was released on 2024-01-20 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Oxidation Processes for Tannery Effluent provides a detailed overview of currently applied and tested sewage treatment technologies and he integration of advanced processes to remove trace organic contaminants and micro-organisms. The book discusses the potential of improved biological treatment to produce reusable wastewater, new municipal wastewater disinfection processes and the reduction of bacteria resistant to antibiotics as well as the effects of advanced oxidation processes on microbial and chemical contaminants. Advanced Oxidation Processes for Tannery Effluent features membrane bioreactors, moving bed bioreactors, light and solar technology, ozonation and immobilized heterogeneous photocatalysis, and provides an assessment of the potential of built wetlands integrated with advanced oxidation technologies to ensure wastewater recycling for reuse. The book discusses issues and standards for water reuse, the state of application of membrane bioreactors and the treatment of reverse osmosis concentrate for better water use in wastewater treatment. It presents the latest developments in the field of drinking water reuse and addresses various important issues in this context, such as proper public health protection, reliability and monitoring. Includes advanced oxidation processes for wastewater treatment Describes various methodologies to treat tannery effluent Outlines applications of different types of treatment strategies to cope up with tannery effluent Applies tertiary advanced oxidation process to remove toxic contaminants from wastewater Provides biochemical pathways of degraded contaminants through various oxidation processes

Multi-Objective Swarm Intelligent Systems

Author : Leandro dos Santos Coelho
Publisher : Springer
ISBN 13 : 3642051650
Total Pages : 228 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Multi-Objective Swarm Intelligent Systems by : Leandro dos Santos Coelho

Download or read book Multi-Objective Swarm Intelligent Systems written by Leandro dos Santos Coelho and published by Springer. This book was released on 2009-11-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.

Swarm Intelligence Based Optimization

Author : Patrick Siarry
Publisher : Springer
ISBN 13 : 3319129708
Total Pages : 202 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Swarm Intelligence Based Optimization by : Patrick Siarry

Download or read book Swarm Intelligence Based Optimization written by Patrick Siarry and published by Springer. This book was released on 2014-11-27 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm, hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains.

Intelligent Computing and Innovation on Data Science

Author : Sheng-Lung Peng
Publisher : Springer Nature
ISBN 13 : 9811631530
Total Pages : 590 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Computing and Innovation on Data Science by : Sheng-Lung Peng

Download or read book Intelligent Computing and Innovation on Data Science written by Sheng-Lung Peng and published by Springer Nature. This book was released on 2021-09-27 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality papers presented at 2nd International Conference on Technology Innovation and Data Sciences (ICTIDS 2021), organized by Lincoln University, Malaysia from 19 – 20 February 2021. It covers wide range of recent technologies like artificial intelligence and machine learning, big data and data sciences, Internet of Things (IoT), and IoT-based digital ecosystem. The book brings together works from researchers, scientists, engineers, scholars and students in the areas of engineering and technology, and provides an opportunity for the dissemination of original research results, new ideas, research and development, practical experiments, which concentrate on both theory and practices, for the benefit of common man.

Unsupervised Learning Algorithms

Author : M. Emre Celebi
Publisher : Springer
ISBN 13 : 3319242113
Total Pages : 558 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Unsupervised Learning Algorithms by : M. Emre Celebi

Download or read book Unsupervised Learning Algorithms written by M. Emre Celebi and published by Springer. This book was released on 2016-04-29 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.

Integration of Swarm Intelligence and Artificial Neural Network

Author : Satchidananda Dehuri
Publisher : World Scientific
ISBN 13 : 9814280143
Total Pages : 352 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Integration of Swarm Intelligence and Artificial Neural Network by : Satchidananda Dehuri

Download or read book Integration of Swarm Intelligence and Artificial Neural Network written by Satchidananda Dehuri and published by World Scientific. This book was released on 2011 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next generation of computational model for machine learning. To the best of our knowledge, the integration of SI and ANN is the first attempt to integrate various aspects of both the independent research area into a single volume.