Handbook Of Evolutionary Machine Learning

DOWNLOAD

Download Handbook Of Evolutionary Machine Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Handbook Of Evolutionary Machine Learning book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Handbook Of Evolutionary Machine Learning

DOWNLOAD
Author : Wolfgang Banzhaf
language : en
Publisher: Springer Nature
Release Date : 2023-11-01

Handbook Of Evolutionary Machine Learning written by Wolfgang Banzhaf and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Computers categories.

This book, written by leading international researchers of evolutionary approaches to machine learning, explores various ways evolution can address machine learning problems and improve current methods of machine learning. Topics in this book are organized into five parts. The first part introduces some fundamental concepts and overviews of evolutionary approaches to the three different classes of learning employed in machine learning. The second addresses the use of evolutionary computation as a machine learning technique describing methodologic improvements for evolutionary clustering, classification, regression, and ensemble learning. The third part explores the connection between evolution and neural networks, in particular the connection to deep learning, generative and adversarial models as well as the exciting potential of evolution with large language models. The fourth part focuses on the use of evolutionary computation for supporting machine learning methods. This includes methodological developments for evolutionary data preparation, model parametrization, design, and validation. The final part covers several chapters on applications in medicine, robotics, science, finance, and other disciplines. Readers find reviews of application areas and can discover large-scale, real-world applications of evolutionary machine learning to a variety of problem domains. This book will serve as an essential reference for researchers, postgraduate students, practitioners in industry and all those interested in evolutionary approaches to machine learning.

Explainable Ai For Evolutionary Computation

DOWNLOAD
Author : Niki van Stein
language : en
Publisher: Springer Nature
Release Date : 2025-05-02

Explainable Ai For Evolutionary Computation written by Niki van Stein and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Computers categories.

This book explores the intersection between explainable artificial intelligence (XAI) and evolutionary computation (EC). In recent years, the fields of XAI and EC have emerged as vital areas of study within the broader domain of artificial intelligence and computational intelligence. XAI seeks to address the pressing demand for transparency and interpretability in AI systems, enabling their decision-making processes to be scrutinised and trusted. Meanwhile, EC offers robust solutions to complex optimisation problems across diverse and challenging domains, drawing upon the principles of natural evolution. While each field has made significant contributions independently, their intersection remains an underexplored area rich with transformative potential. This book charts a path towards advancing computational systems that are transparent, reliable, and ethically sound. It aims to bridge the gap between XAI and EC by presenting a comprehensive exploration of methodologies, applications and case studies that highlight the synergies between these fields. This book will serve as both a resource and an inspiration, encouraging researchers and practitioners within XAI and EC, as well as those from adjacent disciplines, to collaborate and drive the development of intelligent computational systems that are not only powerful but also inherently trustworthy.

Handbook Of Machine Learning Volume 1 Foundation Of Artificial Intelligence

DOWNLOAD
Author : Tshilidzi Marwala
language : en
Publisher: World Scientific
Release Date : 2018-10-22

Handbook Of Machine Learning Volume 1 Foundation Of Artificial Intelligence written by Tshilidzi Marwala and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-22 with Computers categories.

This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these machine learning techniques and describes the problem of causality. This book should serves as a useful reference for practitioners in artificial intelligence.

Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0

DOWNLOAD
Author : Joseph Bamidele Awotunde
language : en
Publisher: CRC Press
Release Date : 2025-06-17

Computational Intelligence For Analysis Of Trends In Industry 4 0 And 5 0 written by Joseph Bamidele Awotunde and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.

Industry 4.0 and Industry 5.0 applications will revolutionize production, enabling smart manufacturing machines to interact with their environments. These machines will become self-aware, self-learning, and capable of real-time data interpretation for self-diagnosis and prevention of production issues. They will also self-calibrate and prioritize tasks to enhance production quality and efficiency. Computational Intelligence for Analysis of Trends in Industry 4.0 and 5.0 examines the trends in applications that merge three key disciplines: Computational Intelligence (CI), Industry 4.0, and Industry 5.0. It presents solutions using industrial Internet of Things (IIoT) technologies, augmented by CI-based techniques, modeling, controls, estimations, applications, systems, and future scopes. These applications use data from smart sensors, processed through enhanced CI methods, to make smart automation more effective. Industry 4.0 integrates data and intelligent automation into manufacturing, using technologies like CI, Internet of Things (IoT), IIoT, and cloud computing. It transforms data into actionable insights for decision-making and process optimization, essential for modern competitive businesses managing high-speed data integration in production processes. Currently, Industry 4.0 and Industry 5.0 are undergoing significant transformations due to advances in applying artificial intelligence (AI), big data analytics, telecommunication technologies, and control theory. These trends are increasingly multidisciplinary, integrating mechanical, control, and information technologies. However, they face technical challenges such as parametric uncertainties, external disturbances, sensor noise, and mechanical failures. To address these issues, this book examines trends such as CI technologies as fuzzy logic, neural networks, and reinforcement learning and their application to modeling, control, and estimation. It also covers recent advancements in IIoT sensors, microcontrollers, and big data analytics that further enhance CI-based solutions in Industry 4.0 and Industry 5.0 systems.

Artificial Intelligence In Music Sound Art And Design

DOWNLOAD
Author : Colin Johnson
language : en
Publisher: Springer Nature
Release Date : 2024-03-29

Artificial Intelligence In Music Sound Art And Design written by Colin Johnson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.

This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024. The 17 full papers and 8 short papers presented in this book were carefully reviewed and selected from 55 submissions. The main purpose of this conference proceedings was to bring together practitioners who are using Artificial Intelligence techniques for artistic tasks, providing the opportunity to promote, present, and discuss ongoing work in the area.

Genetic Programming Theory And Practice Xxi

DOWNLOAD
Author : Stephan M. Winkler
language : en
Publisher: Springer Nature
Release Date : 2025-02-27

Genetic Programming Theory And Practice Xxi written by Stephan M. Winkler and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.

This book brings together some of the most impactful researchers in the field of genetic programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year ́s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine, and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state-of-the-art in GP research.

Ai 2024 Advances In Artificial Intelligence

DOWNLOAD
Author : Mingming Gong
language : en
Publisher: Springer Nature
Release Date : 2024-11-23

Ai 2024 Advances In Artificial Intelligence written by Mingming Gong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-23 with Computers categories.

This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024. The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions. Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining. Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.

How Words Help Us Think

DOWNLOAD
Author : Nancy Salay
language : en
Publisher: Bloomsbury Publishing
Release Date : 2025-02-06

How Words Help Us Think written by Nancy Salay and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-06 with Philosophy categories.

A capacity to act for reasons is a key indicator of intelligence. A leaf floats this way and that as the wind currents shift, a drone moves up or down with the movements of its controller, but a cognitive agent decides to walk to the store to get some food. This deliberative capacity to think through hypothetical situations, to choose between the grocery store or the restaurant, requires representational intentionality, the ability to think about real and possible situations in the world. According to the mainstream zeitgeist in the cognitive sciences, this capacity exhaustively reduces to lower level processes and, as a consequence, cognitive research has been driven increasingly inwards and downwards to focus on activity at the neural and molecular levels. Here, Nancy Salay argues that this move is deeply misguided. After revealing the central problems with this internalist idea, Salay puts forward an externalist paradigm of intentionality supported by recent empirical work in neuroscience, computer science, philosophy, animal cognition and developmental psychology. Drawing all of these insights together, she provides a unified framework in which to situate externalist views of intentionality, making progress towards a viable theory of cognition. This is a comprehensive theoretical guide and a valuable empirical resource for those who view cognition through an extended and enactive lens.

Responsible Implementations Of Generative Ai For Multidisciplinary Use

DOWNLOAD
Author : Gaur, Loveleen
language : en
Publisher: IGI Global
Release Date : 2024-09-18

Responsible Implementations Of Generative Ai For Multidisciplinary Use written by Gaur, Loveleen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-18 with Computers categories.

Generative artificial intelligence (GAI) represents a profound leap in technological advancement, empowering machines to create content that closely mimics human creativity in various forms. As this technology continues to evolve and permeate multiple industries, it is essential to address the accompanying ethical considerations that arise from its use. Furthermore, there is a need for transparency in how GAI systems are developed and deployed to ensure that they are used responsibly and that their outputs are reliable and fair. Balancing innovation with ethical practices will be crucial to harnessing the benefits of GAI while mitigating its risks and ensuring its positive contribution to society. Responsible Implementations of Generative AI for Multidisciplinary Use highlights both the immense potential of GAI and the ethical challenges it presents. This book demystifies GAI by breaking down complex concepts into accessible language and offering real-world examples that illustrate the implications of its applications. Covering topics such as chatbots, ethical leadership, and the metaverse, this book is an excellent resource for technology professionals and developers, ethicists, policymakers, academicians, researchers, business leaders and executives, legal experts, students, educators, and more.

Evolutionary Computation With Intelligent Systems

DOWNLOAD
Author : R.S. Chauhan
language : en
Publisher: CRC Press
Release Date : 2022-03-28

Evolutionary Computation With Intelligent Systems written by R.S. Chauhan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-28 with Business & Economics categories.

This book focuses on cutting-edge innovations and core theories, principles, and algorithms applicable to a wide area. Real-life applications, case studies, and examples are included along with emerging trends, design, and optimized solutions pivoting around the needs of Society 5.0. Evolutionary Computation with Intelligent Systems: A Multidisciplinary Approach to Society 5.0 provides a holistic view of evolutionary computation techniques including principles, procedures, and future applications with real-life examples. The book comprehensively explains evolutionary computation, design, principles, development trends, and optimization and describes how it can transform the operating context of the organization. It exemplifies the potential of evolutionary computation for the next generation and the role of cloud computing in shaping Society 5.0. It also provides insight into various platforms, paradigms, techniques, and tools used in diverse fields. This book appeals to a variety of readers such as academicians, researchers, research scholars, and postgraduates.