Working with OpenCL to speed up a genetic programming financial forecasting algorithm
Author:
Affiliation:
1. University of Kent, Canterbury, United Kingdom
2. University of Kent, Chatham Maritime, United Kingdom
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2598394.2605689
Reference19 articles.
1. Using genetic algorithms to find technical trading rules1Helpful comments were made by Adam Dunsby, Lawrence Fisher, Steven Kimbrough, Paul Kleindorfer, Michele Kreisler, James Laing, Josef Lakonishok, George Mailath, and seminar participants at Institutional Investor, J.P. Morgan, the NBER Asset Pricing Program, Ohio State University, Purdue University, the Santa Fe Institute, Rutgers University, Stanford University, University of California, Berkeley, University of Michigan, University of Pennsylvania, University of Utah, Washington University (St. Louis), and the 1995 AFA Meetings in Washington, D.C. We are particularly grateful to Kenneth R. French (the referee), and G. William Schwert (the editor) for their suggestions. Financial support from the National Science Foundation is gratefully acknowledged by the first author and from the Academy of Finland by the second and from the Geewax-Terker Program in Financial Instruments by both. Correspondence should be addressed to Franklin Allen, The Wharton School, University of Pennsylvania, Philadelphia, PA 19104-6367.1
2. Accelerated parallel genetic programming tree evaluation with OpenCL
3. Adaptive systems for foreign exchange trading
4. Parallel Ant Colony Optimization on Graphics Processing Units
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. GSGP-hardware: instantaneous symbolic regression with an FPGA implementation of geometric semantic genetic programming;Genetic Programming and Evolvable Machines;2024-06-25
2. M5GP: Parallel Multidimensional Genetic Programming with Multidimensional Populations for Symbolic Regression;Mathematical and Computational Applications;2024-03-18
3. Combining Technical and Sentiment Analysis Under a Genetic Programming Algorithm;Advances in Intelligent Systems and Computing;2024
4. Machine Learning for Real Estate Time Series Prediction;Advances in Intelligent Systems and Computing;2024
5. Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18
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