@inproceedings{e7e60d6b1f144c24bad699767f304658,
title = "Pattern matching synthesis as an automated approach to mechanism design",
abstract = "A new knowledge-based approach for the synthesis of mechanisms, referred to as Pattern Matching Synthesis, has been developed based on committee machine and Hopfield neural network models of pattern matching applied to coupler curves. Computational tests performed on a dimensionally parameterized four bar mechanism have yielded 15 distinct coupler curve groups (patterns) from a total of 356 generated coupler curves. This innovative approach represents a first step toward the automation of mapping structure-Tofunction in mechanism design based on the application of artificial intelligence programming techniques.",
author = "Hoeltzel, {D. A.} and Chieng, {W. H.}",
note = "Publisher Copyright: {\textcopyright} 1989 American Society of Mechanical Engineers (ASME). All rights reserved.; null ; Conference date: 17-09-1989 Through 21-09-1989",
year = "1989",
doi = "10.1115/DETC1989-0043",
language = "English",
series = "Proceedings of the ASME Design Engineering Technical Conference",
publisher = "American Society of Mechanical Engineers (ASME)",
pages = "243--250",
booktitle = "Computer-Aided and Computational Design",
}