计算机仿真结果与机器学习在微波辐射测温数据分析中的应用
机器学习
2020-12-21 v1
摘要
本工作旨在基于微波辐射测温方法建模时空温度分布及所得数据的智能分析,建立乳腺癌早期鉴别诊断的基础。本文探讨机器学习在微波辐射测温数据分析中的应用。亦讨论了针对各类诊断类别患者构建乳腺温度场计算机模型的相关问题。借助基于机器学习算法集(逻辑回归、朴素贝叶斯分类器、支持向量机、决策树、梯度提升、K近邻等)使用的计算机实验,验证了乳腺温度场计算机模型集的适用性。
引用
@article{arxiv.2012.10343,
title = {Application of computer simulation results and machine learning in analysis of microwave radiothermometry data},
author = {Maxim Polyakov and Illarion Popov and Alexander Losev and Alexander Khoperskov},
journal= {arXiv preprint arXiv:2012.10343},
year = {2020}
}
备注
8 pages, 3 figures, International Conference "Intelligent Systems in Science and Technology". The 5th All-Russian Scientific and Practical Conference "Artificial Intelligence in Solving Actual Social and Economic Problems of the 21st Century", Perm State National Research University (Perm, Russia), October 12-18, 2020