Using genetic programming and decision trees for generating structural descriptions of four bar mechanisms

Author:

EKÁRT ANIKÓ,MÁRKUS ANDRÁS

Abstract

Four bar mechanisms are basic components of many important mechanical devices. The kinematic synthesis of four bar mechanisms is a difficult design problem. A novel method that combines the genetic programming and decision tree learning methods is presented. We give a structural description for the class of mechanisms that produce desired coupler curves. Constructive induction is used to find and characterize feasible regions of the design space. Decision trees constitute the learning engine, and the new features are created by genetic programming.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference22 articles.

1. Norton, R.L. (1992).Design of Machinery.New York:McGraw–Hill.

2. Vancsay, G. (2000).The application of genetic algorithms in mechanical design.PhD Thesis.Technical University of Budapest.

3. Hrones, J.A. & Nelson, G.L. (1951).Analysis of the Four Bar Linkage.New York:Wiley.

4. A generalized exact gradient method for mechanism synthesis

5. Approximate four-bar circle-tracing mechanisms: classical and new synthesis

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Historical Review on the Computational Techniques for Mechanism Synthesis: Developments Up to 2022;Archives of Computational Methods in Engineering;2022-11-02

2. Embedded Feature Construction in Fuzzy Decision Tree Induction for High Energy Physics Classification;2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2020-10-11

3. Intelligent model-based optimization of cutting parameters for high quality turning of hardened AISI D2;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2020-03-03

4. A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming;IEEE Transactions on Evolutionary Computation;2012-10

5. Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods;Machine Learning and Knowledge Discovery in Databases;2012

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3