计算机科学
感知器
工作(物理)
人工智能
竞赛(生物学)
计算智能
质量(理念)
机器学习
图层(电子)
扩展(谓词逻辑)
人工神经网络
工程类
哲学
认识论
有机化学
化学
程序设计语言
生物
机械工程
生态学
作者
Alan McCabe,Jarrod Trevathan
标识
DOI:10.1109/itng.2008.203
摘要
This paper presents an extension of earlier work in the use of artificial intelligence for prediction of sporting outcomes. An expanded model is described, as well as a broadening of the area of application of the original work. The model used is a form of multi-layer perceptron and it is presented with a number of features which attempt to capture the quality of various sporting teams. The system performs well and compares favourably with human tipsters in several environments. A study of less rigid "World Cup" formats appears, along with extensive live testing results in a major international tipping competition.
科研通智能强力驱动
Strongly Powered by AbleSci AI