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Neural Computing For Structural Mechanics
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Book Synopsis Neural Computing for Structural Mechanics by : B. H. V. Topping
Download or read book Neural Computing for Structural Mechanics written by B. H. V. Topping and published by . This book was released on 1997 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describing the application of artificial neural networks to structural mechanics, this book will be of interest to engineers, computer scientists and mathematicians working on the application of neural computing to structural mechanics and in particular finite element problems. It is accompanied by a voucher for a free software disk.
Book Synopsis Neural Networks in the Analysis and Design of Structures by : Zenon Waszczysznk
Download or read book Neural Networks in the Analysis and Design of Structures written by Zenon Waszczysznk and published by Springer. This book was released on 2014-05-04 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks are a new, interdisciplinary tool for information processing. Neurocomputing being successfully introduced to structural problems which are difficult or even impossible to be analysed by standard computers (hard computing). The book is devoted to foundations and applications of NNs in the structural mechanics and design of structures.
Book Synopsis Computational Mechanics with Neural Networks by : Genki Yagawa
Download or read book Computational Mechanics with Neural Networks written by Genki Yagawa and published by Springer Nature. This book was released on 2021-02-26 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning method in computational mechanics. Part II highlights the applications of neural networks to a variety of problems of computational mechanics. The final chapter gives perspectives to the applications of the deep learning to computational mechanics.
Book Synopsis Introduction To The Theory Of Neural Computation by : John A. Hertz
Download or read book Introduction To The Theory Of Neural Computation written by John A. Hertz and published by CRC Press. This book was released on 2018-03-08 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
Book Synopsis Computational Structural Mechanics by : Snehashish Chakraverty
Download or read book Computational Structural Mechanics written by Snehashish Chakraverty and published by Academic Press. This book was released on 2018-09-13 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Structural Mechanics: Static and Dynamic Behaviors provides a cutting-edge treatment of functionally graded materials and the computational methods and solutions of FG static and vibration problems of plates. Using the Rayleigh-Ritz method, static and dynamic problems related to behavior of FG rectangular, Levy, elliptic, skew and annular plates are discussed in detail. A thorough review of the latest research results, computational methods and applications of FG technology make this an essential resource for researchers in academia and industry. Explains application-oriented treatments of the functionally graded materials used in industry Addresses relevant algorithms and key computational techniques Provides numerical solutions of static and vibration problems associated with functionally graded beams and plates of different geometries
Book Synopsis Functional Approximation Using Artificial Neural Networks in Structural Mechanics by : Javed Alam
Download or read book Functional Approximation Using Artificial Neural Networks in Structural Mechanics written by Javed Alam and published by . This book was released on 1993 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Handbook of Neural Computation by : Pijush Samui
Download or read book Handbook of Neural Computation written by Pijush Samui and published by Academic Press. This book was released on 2017-07-18 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. - Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more - Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing - Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods
Book Synopsis Mechanics of Solid Materials by : Jean Lemaitre
Download or read book Mechanics of Solid Materials written by Jean Lemaitre and published by Cambridge University Press. This book was released on 1994-08-25 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Translation of hugely successful book aimed at advanced undergraduates, graduate students and researchers.
Book Synopsis Artificial Intelligence-Based Design of Reinforced Concrete Structures by : Won-Kee Hong
Download or read book Artificial Intelligence-Based Design of Reinforced Concrete Structures written by Won-Kee Hong and published by Elsevier. This book was released on 2023-04-29 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers who want to learn how to perform artificial intelligence-based structural design. The book describes, in detail, the main concepts of ANNs and their application and use in civil and architectural engineering. It shows how neural networks can be established and implemented depending on the nature of a broad range of diverse engineering problems. The design examples include both civil and architectural engineering solutions, for both structural engineering and concrete structures. Those who have not had the opportunity to study or implement neural networks before will find this book very easy to follow. It covers the basic network theory and how to formulate and apply neural networks to real-world problems. Plenty of examples based on real engineering problems and solutions are included to help readers better understand important concepts. - Helps civil engineers understand the fundamentals of AI and ANNs and how to apply them in simple reinforced concrete design cases - Contains practical case study examples on the application of AI technology in structural engineer - Teaches readers how to apply ANNs as solutions for a broad range of engineering problems - Includes AI-based software [MATLAB], which will enable readers to verify AI-based examples
Book Synopsis Neurocomputing for Design Automation by : Hyo Seon Park
Download or read book Neurocomputing for Design Automation written by Hyo Seon Park and published by CRC Press. This book was released on 1998-05-22 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurocomputing for Design Automation provides innovative design theories and computational models with two broad objectives: automation and optimization. This singular book: Presents an introduction to the automation and optimization of engineering design of complex engineering systems using neural network computing Outlines new computational models and paradigms for automating the complex process of design for unique engineering systems, such as steel highrise building structures Applies design theories and models to the solution of structural design problems Integrates three computing paradigms: mathematical optimization, neural network computing, and parallel processing The applications described are general enough to be applied directly or by extension to other engineering design problems, such as aerospace or mechanical design. Also, the computational models are shown to be stable and robust - particularly suitable for design automation of large systems, such as a 144-story steel super-highrise building structure with more than 20,000 members. The book provides an exceptional framework for the automation and optimization of engineering design, focusing on a new computing paradigm - neural networks computing. It presents the automation of complex systems at a new and higher level never achieved before.
Book Synopsis Intelligent Computational Paradigms in Earthquake Engineering by : Nikos D. Lagaros
Download or read book Intelligent Computational Paradigms in Earthquake Engineering written by Nikos D. Lagaros and published by IGI Global. This book was released on 2007-01-01 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book contains contributions that cover a wide spectrum of very important real-world engineering problems, and explores the implementation of neural networks for the representation of structural responses in earthquake engineering. It assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering"--Provided by publisher.
Book Synopsis Shape and Layout Optimization of Structural Systems and Optimality Criteria Methods by : G. I. N. Rozvany
Download or read book Shape and Layout Optimization of Structural Systems and Optimality Criteria Methods written by G. I. N. Rozvany and published by . This book was released on 2014-09-01 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Structural Dynamics and Earthquake Engineering by : Manolis Papadrakakis
Download or read book Computational Structural Dynamics and Earthquake Engineering written by Manolis Papadrakakis and published by CRC Press. This book was released on 2008-12-04 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing necessity to solve complex problems in Structural Dynamics and Earthquake Engineering requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest scientific developments in Computational Dynamics, Stochastic Dynam
Book Synopsis Unsupervised Learning by : Geoffrey Hinton
Download or read book Unsupervised Learning written by Geoffrey Hinton and published by MIT Press. This book was released on 1999-05-24 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.
Book Synopsis Recent Advances in Structural Engineering by :
Download or read book Recent Advances in Structural Engineering written by and published by Universities Press. This book was released on 2005-02 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains state-of-the-art review articles on specific research areas in the civil engineering discipline-the areas include geotechnical engineering, hydraulics and water resources engineering, and structural engineering. The articles are written by invited authors who are currently active at the international level in their respective research fields.
Book Synopsis Neural Networks in the Analysis and Design of Structures by : Zenon Waszczysznk
Download or read book Neural Networks in the Analysis and Design of Structures written by Zenon Waszczysznk and published by . This book was released on 2014-09-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deep Learning in Computational Mechanics by : Stefan Kollmannsberger
Download or read book Deep Learning in Computational Mechanics written by Stefan Kollmannsberger and published by Springer Nature. This book was released on 2021-08-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a first course on deep learning in computational mechanics. The book starts with a short introduction to machine learning’s fundamental concepts before neural networks are explained thoroughly. It then provides an overview of current topics in physics and engineering, setting the stage for the book’s main topics: physics-informed neural networks and the deep energy method. The idea of the book is to provide the basic concepts in a mathematically sound manner and yet to stay as simple as possible. To achieve this goal, mostly one-dimensional examples are investigated, such as approximating functions by neural networks or the simulation of the temperature’s evolution in a one-dimensional bar. Each chapter contains examples and exercises which are either solved analytically or in PyTorch, an open-source machine learning framework for python.
