摘要
阐述人工智能技术在竞赛数据分析与预测中的应用,包括竞赛中数据的特征、数据采集和预处理、数据特征工程、模型构建、模型训练和模型评估,探讨应用神经网络预测模型进行实验研究。
This paper describes the application of artificial intelligence technology in the analysis and prediction of competition data, including the characteristics of competition data, data collection and preprocessing, data Feature engineering, model construction, model training and model evaluation, and discusses the application of neural network prediction model for experimental research.
作者
于丽萍
YU Liping(Linfen Vocational and Technical College,Shanxi 041000,China)
出处
《集成电路应用》
2023年第7期372-373,共2页
Application of IC
关键词
人工智能
数据特征
模型构建
预测模型
artificial intelligence
data features
model construction
predictive models
作者简介
于丽萍,临汾职业技术学院,讲师,研究方向:体育教学。
