Semi empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing individual models with unique features. The book illustrates key concepts through a large number of specific problems, both hypothetical models and practical interest. Offers a new approach to neural networks using a unified simulation model at all stages of design and operation Illustrates this new approach with numerous concrete examples throughout the book Presents the methodology in separate and clearly-defined stages

Produk Detail:

  • Author : Dmitriy Tarkhov
  • Publisher : Academic Press
  • Pages : 288 pages
  • ISBN : 012815652X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSemi empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling and Digital Twins Development
  • Author : Dmitriy Tarkhov,Alexander Nikolayevich Vasilyev
  • Publisher : Academic Press
  • Release : 23 November 2019
GET THIS BOOKSemi-empirical Neural Network Modeling and Digital Twins Development

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing

Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006

Intelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006
  • Author : Duc T. Pham,Eldaw E. Eldukhri,Anthony J. Soroka
  • Publisher : Elsevier
  • Release : 28 July 2011
GET THIS BOOKIntelligent Production Machines and Systems - 2nd I*PROMS Virtual International Conference 3-14 July 2006

I*PROMS 2005 is an online web-based conference. It provides a platform for presenting, discussing, and disseminating research results contributed by scientists and industrial practitioners active in the area of intelligent systems and soft computing techniques (such as fuzzy logic, neural networks, evolutionary algorithms, and knowledge-based systems) and their application in different areas of manufacturing. Comprised of 100 peer-reviewed articles, this important resource provides tools to help enterprises achieve goals critical to the future of manufacturing. I*PROMS is an European Union-funded

Industry 4.0 for SMEs

Industry 4.0 for SMEs
  • Author : Dominik T. Matt,Vladimír Modrák,Helmut Zsifkovits
  • Publisher : Springer Nature
  • Release : 01 January 2020
GET THIS BOOKIndustry 4.0 for SMEs

This open access book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart

Digital Terrain Modeling

Digital Terrain Modeling
  • Author : Zhilin Li,Christopher Zhu,Chris Gold
  • Publisher : CRC Press
  • Release : 29 November 2004
GET THIS BOOKDigital Terrain Modeling

Written by experts, Digital Terrain Modeling: Principles and Methodology provides comprehensive coverage of recent developments in the field. The topics include terrain analysis, sampling strategy, acquisition methodology, surface modeling principles, triangulation algorithms, interpolation techniques, on-line and off-line quality control in data acquisition, DTM accuracy assessment and mathematical models for DTM accuracy prediction, multi-scale representation, data management, contouring, visual analysis (or visualization), the derivation of various types of terrain parameters, and future development and applications.

Mechatronic Futures

Mechatronic Futures
  • Author : Peter Hehenberger,David Bradley
  • Publisher : Springer
  • Release : 10 June 2016
GET THIS BOOKMechatronic Futures

Offering a comprehensive overview of the challenges, risks and options facing the future of mechatronics, this book provides insights into how these issues are currently assessed and managed. Building on the previously published book ‘Mechatronics in Action,’ it identifies and discusses the key issues likely to impact on future mechatronic systems. It supports mechatronics practitioners in identifying key areas in design, modeling and technology and places these in the wider context of concepts such as cyber-physical systems and the Internet

Aeronautical Engineering

Aeronautical Engineering
  • Author : Anonim
  • Publisher : Unknown Publisher
  • Release : 21 June 1993
GET THIS BOOKAeronautical Engineering

A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International aerospace abstracts (IAA)

Advances in Machine Learning and Computational Intelligence

Advances in Machine Learning and Computational Intelligence
  • Author : Srikanta Patnaik,Xin-She Yang,Ishwar K. Sethi
  • Publisher : Springer Nature
  • Release : 25 July 2020
GET THIS BOOKAdvances in Machine Learning and Computational Intelligence

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), jointly organized by Kunming University of Science and Technology and the Interscience Research Network, Bhubaneswar, India, from April 6 to 7, 2019. Addressing virtually all aspects of intelligent systems, soft computing and machine learning, the topics covered include: prediction; data mining; information retrieval; game playing; robotics; learning methods; pattern visualization; automated knowledge acquisition; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and

Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future

Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future
  • Author : Theodor Borangiu,Damien Trentesaux,Paulo Leitão,Adriana Giret Boggino,Vicente Botti
  • Publisher : Springer
  • Release : 02 August 2019
GET THIS BOOKService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future

This proceedings book presents selected peer-reviewed papers from the 9th International Workshop on ‘Service Oriented, Holonic and Multi-agent Manufacturing Systems for the Industry of the Future’ organized by Universitat Politècnica de València, Spain, and held on October 3–4, 2019. The SOHOMA 2019 Workshop aimed to foster innovation in the digital transformation of manufacturing and logistics by promoting new concepts and methods and solutions through service orientation in holonic and agent-based control with distributed intelligence. The book provides insights into the theme