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Author: Carlo Calledda Publisher: Youcanprint ISBN: Category : Computers Languages : en Pages : 76
Book Description
Neural network-based algorithms find numerous applications in different scientific fields and, in particular, in the various areas of engineering. In Civil Engineering, however, there are still few applications of such methods. The purpose of this thesis is to apply the resolution capabilities of artificial neural networks to structural design.
Author: Carlo Calledda Publisher: Youcanprint ISBN: Category : Computers Languages : en Pages : 76
Book Description
Neural network-based algorithms find numerous applications in different scientific fields and, in particular, in the various areas of engineering. In Civil Engineering, however, there are still few applications of such methods. The purpose of this thesis is to apply the resolution capabilities of artificial neural networks to structural design.
Author: Isaac Elishakoff Publisher: World Scientific ISBN: 1848164777 Category : Technology & Engineering Languages : en Pages : 425
Book Description
The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and summarizes various novel ideas, methodologies and results studied over 20 years. The book vividly demonstrates how the concept of uncertainty should be incorporated in a rigorous manner during the process of designing real-world structures. The necessity of anti-optimization approach is first demonstrated, then the anti-optimization techniques are applied to static, dynamic and buckling problems, thus covering the broadest possible set of applications. Finally, anti-optimization is fully utilized by a combination of structural optimization to produce the optimal design considering the worst-case scenario. This is currently the only book that covers the combination of optimization and anti-optimization. It shows how various optimization techniques are used in the novel anti-optimization technique, and how the structural optimization can be exponentially enhanced by incorporating the concept of worst-case scenario, thereby increasing the safety of the structures designed in various fields of engineering.
Author: Mukesh Saraswat Publisher: Springer Nature ISBN: 9811966311 Category : Technology & Engineering Languages : en Pages : 946
Book Description
This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
Author: Lazaros Iliadis Publisher: Springer Nature ISBN: 3031082230 Category : Computers Languages : en Pages : 544
Book Description
This book constitutes the refereed proceedings of the 23rd International Conference on Engineering Applications of Neural Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June 2022. The 37 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Bio inspired Modeling / Novel Neural Architectures; Classification / Clustering; Machine Learning; Convolutional / Deep Learning; Datamining / Learning / Autoencoders; Deep Learning / Blockchain; Machine Learning for Medical Images / Genome Classification; Reinforcement /Adversarial / Echo State Neural Networks; Robotics / Autonomous Vehicles, Photonic Neural Networks; Text Classification / Natural Language.
Author: Anna Esposito Publisher: Springer Nature ISBN: 981993592X Category : Technology & Engineering Languages : en Pages : 358
Book Description
This book provides an overview on the current progresses in artificial intelligence and neural nets in data science. The book is reporting on intelligent algorithms and applications modeling, prediction, and recognition tasks and many other application areas supporting complex multimodal systems to enhance and improve human–machine or human–human interactions. This field is broadly addressed by the scientific communities and has a strong commercial impact since investigates on the theoretical frameworks supporting the implementation of sophisticated computational intelligence tools. Such tools will support multidisciplinary aspects of data mining and data processing characterizing appropriate system reactions to human-machine interactional exchanges in interactive scenarios. The emotional issue has recently gained increasing attention for such complex systems due to its relevance in helping in the most common human tasks (like cognitive processes, perception, learning, communication, and even "rational" decision-making) and therefore improving the quality of life of the end users.
Author: Xuan F. Zha Publisher: IOS Press ISBN: 9781586036751 Category : Computers Languages : en Pages : 432
Book Description
Aims to describe findings and techniques that use intelligent systems in engineering design, and examples of applications. This book focuses on the integrated intelligent methodologies, frameworks and systems for supporting engineering design activities. It is aimed at researchers, graduate students and engineers involved in engineering design.
Author: Publisher: IOS Press ISBN: Category : Languages : en Pages : 7289
Author: Peter W. Christensen Publisher: Springer Science & Business Media ISBN: 1402086652 Category : Technology & Engineering Languages : en Pages : 214
Book Description
This book has grown out of lectures and courses given at Linköping University, Sweden, over a period of 15 years. It gives an introductory treatment of problems and methods of structural optimization. The three basic classes of geometrical - timization problems of mechanical structures, i. e. , size, shape and topology op- mization, are treated. The focus is on concrete numerical solution methods for d- crete and (?nite element) discretized linear elastic structures. The style is explicit and practical: mathematical proofs are provided when arguments can be kept e- mentary but are otherwise only cited, while implementation details are frequently provided. Moreover, since the text has an emphasis on geometrical design problems, where the design is represented by continuously varying—frequently very many— variables, so-called ?rst order methods are central to the treatment. These methods are based on sensitivity analysis, i. e. , on establishing ?rst order derivatives for - jectives and constraints. The classical ?rst order methods that we emphasize are CONLIN and MMA, which are based on explicit, convex and separable appro- mations. It should be remarked that the classical and frequently used so-called op- mality criteria method is also of this kind. It may also be noted in this context that zero order methods such as response surface methods, surrogate models, neural n- works, genetic algorithms, etc. , essentially apply to different types of problems than the ones treated here and should be presented elsewhere.
Author: Carlo Calledda
Author: Carlo Calledda
Author: Isaac Elishakoff
Author: Mukesh Saraswat
Author: Lazaros Iliadis
Author: Anna Esposito
Author: 
Author: Xuan F. Zha
Author: 
Author: 
Author: Peter W. Christensen