New advances machine learning (19 Ergebnisse)

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - Top expert Dr. Lance B. Eliot provides the latest new insights about AI Autonomous Vehicles (AV) that are emerging as driverless self-driving cars and are progressively appearing on our roadways and byways. Vital issues he addresses include present and future technological advances, societal readiness, business aspects, economic considerations, and other ramifications about how this disruptive innovation will transform the world. Referred to as the 'AI Insider' and currently serving as the Executive Director of the Cybernetic Self-Driving Car Institute for Techbrium Inc., he provides a no-holds-barred analysis of how Artificial Intelligence and Machine Learning are both a strength and a potential weakness in the effort toward developing true SAE Level 5 self-driving cars.…

Zustand: New.

Paperback. Zustand: Brand New. 240 pages. 9.21x6.14x0.51 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. In English.

Paperback. Zustand: Brand New. 264 pages. 9.00x6.00x9.00 inches. In Stock.

Zustand: New. In English.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking. …

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

Taschenbuch. Zustand: Neu. Metaheuristics for Machine Learning | New Advances and Tools | Mansour Eddaly (u. a.) | Taschenbuch | Computational Intelligence Methods and Applications | xv | Englisch | 2024 | Springer | EAN 9789811938900 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression) and unsupervised (clustering and rule mining) problems. Furthermore, automatically generating programs via metaheuristics, as a form of evolutionary computation and swarm intelligence, has now gained widespread popularity. This book investigates different ways of integrating metaheuristics into machine learning techniques, from both theoretical and practical standpoints. It explores how metaheuristics can be adapted in order to enhance machine learning tools and presents an overview of the main metaheuristic programming methods. Moreover, real-world applications are provided for illustration, e.g., in clustering, big data, machine health monitoring, underwater sonar targets, and banking. …

Hardcover. Zustand: Brand New. 244 pages. 9.00x6.00x0.75 inches. In Stock.

Hardcover. Zustand: Brand New. 282 pages. 9.18x6.12x9.24 inches. In Stock.

Buch. Zustand: Neu. Neuware - Technologies for materials modeling play a key role in investigating, comprehending, and eventually forecasting the behavior of materials. This new volume presents a selection of studies on new advances, developments, and trends in industrial manufacturing and materials, exploring the new era of advanced materials, composites, nanomaterials, and advanced machining processes. The book also explores combining modern materials science with computer techniques such as artificial intelligence, machine learning, and other smart technologies.The volume presents studies that showcase modeling and simulation of materials behavior as essential tools in industrial R&D, which assists in making decisions about the creation or improvement of new goods and production techniques. The volume discusses 2D and 3D computational modeling for new advanced materials, evaluating mechanical and optical properties, fiber-matrix interface in fiber-reinforced polymer (FRP) composites, mechanical and corrosion behavior of certain materials, techniques the management of waste materials, using machine learning for reliability prediction, and more.…

Zustand: New. In English.