Automated extraction of expert knowledge in analog topology selection and sizing
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{McConaghy:2008:ICCAD,
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author = "Trent McConaghy and Pieter Palmers and
Georges Gielen and Michiel Steyaert",
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title = "Automated extraction of expert knowledge in analog
topology selection and sizing",
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booktitle = "IEEE/ACM International Conference on Computer-Aided
Design, ICCAD 2008",
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year = "2008",
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pages = "392--395",
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address = "San Jose, CA, USA",
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month = "10-13 " # nov,
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keywords = "genetic algorithms, genetic programming, EHW, Pareto
analysis, analogue circuits, circuit optimisation, data
mining, electronic engineering computing, expert
systems, network topology, operational amplifiers,
Pareto optimal set, analog circuit topology, analog
topology selection, analog topology sizing, datamining
perspective, expert knowledge automated extraction,
operational amplifier design, performance
specifications, sizing variables, specs-to-topology
decision tree, topology choice, Analytical models, CMOS
technology, Circuit simulation, Circuit topology,
Databases, Decision trees, Design automation,
Operational amplifiers, Performance analysis, Space
technology",
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isbn13 = "978-1-4244-2819-9",
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URL = "http://trent.st/content/2008-ICCAD-cad_synthesis_insight.pdf",
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DOI = "doi:10.1109/ICCAD.2008.4681603",
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size = "4 pages",
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abstract = "This paper presents a methodology for analog designers
to maintain their insights into the relationship among
performance specifications, topology choice, and sizing
variables, despite those insights being constantly
challenged by changing process nodes and new specs. The
methodology is to take a data-mining perspective on a
Pareto Optimal Set of sized analog circuit topologies,
then doing: extraction of a specs-to-topology decision
tree; global nonlinear sensitivity analysis on topology
and sizing variables; and determining analytical
expressions of performance tradeoffs. These approaches
are all complementary as they answer different designer
questions. Once the knowledge is extracted, it can be
readily distributed to help other designers, without
needing further synthesis. Results are shown for
operational amplifier design on a database containing
thousands of Pareto Optimal designs across five
objectives.",
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notes = "Also known as \cite{4681603}",
- }
Genetic Programming entries for
Trent McConaghy
Pieter Palmers
Georges G E Gielen
Michiel Steyaert
Citations