Smart Modelling For Engineering Systems
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Smart Modelling For Engineering Systems
Author: Margarita N. Favorskaya
language: en
Publisher: Springer Nature
Release Date: 2021-02-26
This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets, and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.
Advances in Knowledge-based and Intelligent Information and Engineering Systems
In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.
Smart Engineering System Design
Author: Cihan H. Dagli
language: en
Publisher: American Society of Mechanical Engineers
Release Date: 2000
Contains the 170 technical presentations from the November 2000 conference. The papers focus on building smart components to engineering systems currently available. The term smart in this context indicates physical systems that can interact with their environment and adapt to changes in both space and time. In addition to the technologies stated in the volume title, the papers also discuss adaptive control, pattern recognition, biology, and medicine. Topics include a neural network for segmentation of line drawings into lines of different orientations, evolutionary synthesis of logic functions using multiplexers, visualizing data association using self- organizing feature maps, a fuzzy knowledge model for estimating the depth of anesthesia, prediction of welding droplet release using time series data mining, and critical dimension control in semiconductor manufacturing. Annotation copyrighted by Book News, Inc., Portland, OR.