Learning abstract models for system design

被引：0
|
作者：
Reddy, Sudhakar Y. [1 ]
机构：
[1] Palo Alto Lab, Palo Alto, United States
来源：
Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM | 1996年 / 10卷 / 02期
关键词：
Algorithms - Computer simulation - Decision making - Recursive functions - Systems analysis - Systems engineering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Though simulation models are extensively used for detailed design analysis, they find limited role in preliminary design decisions. We have developed a machine learning based approach to enable detailed simulation models to be harvested for supporting early-stage design of engineering systems.
引用
收藏
页码：167 / 169
相关论文
共 50 条
  • [1] Learning abstract models for system design
    Reddy, SY
    AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 1996, 10 (02): : 167 - 169
  • [2] Learning abstract scheduling models
    Carchrae, T
    Beck, JC
    ABSTRACTION, REFORMULATION AND APPROXIMATION, PROCEEDINGS, 2005, 3607 : 354 - 355
  • [3] Abstract Models for System Virtualization
    Markina, Tatiana
    Koveshnikov, Mikhail
    Bazylev, Dmitry
    2015 7TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT), 2015, : 210 - 215
  • [4] A framework to abstract the design practices of e-learning system projects
    Corbiere, Alain
    OPEN SOURCE DEVELOPMENT, COMMUNITIES AND QUALITY, 2008, 275 : 317 - 323
  • [5] Concrete and abstract models of category learning
    Langley, P
    PROCEEDINGS OF THE TWENTY FIRST ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 1999, : 288 - 293
  • [6] Active Learning of Abstract System Models from Traces using Model Checking
    Jeppu, Natasha Yogananda
    Melham, Tom
    Kroening, Daniel
    PROCEEDINGS OF THE 2022 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2022), 2022, : 100 - 103
  • [7] Calibration of abstract performance models for system-level design space exploration
    Pimentel, Andy D.
    Thompson, Mark
    Polstra, Simon
    Erbas, Cagkan
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2008, 50 (02): : 99 - 114
  • [8] Calibration of Abstract Performance Models for System-Level Design Space Exploration
    Andy D. Pimentel
    Mark Thompson
    Simon Polstra
    Cagkan Erbas
    Journal of Signal Processing Systems, 2008, 50 : 99 - 114
  • [9] Abstract State Machines:: a unifying view of models of computation and of system design frameworks
    Börger, E
    ANNALS OF PURE AND APPLIED LOGIC, 2005, 133 (1-3) : 149 - 171
  • [10] On the calibration of abstract performance models for system-level design space exploration
    Pimentel, Andy D.
    Thompson, Mark
    Polstra, Simon
    Erbas, Cagkan
    2006 INTERNATIONAL CONFERENCE ON EMBEDDED COMPUTER SYSTEMS: ARCHITECTURES, MODELING AND SIMULATION, PROCEEDINGS, 2006, : 71 - +
12345