infinite-dataset-hub/AntennaParameterTrainingSet

AntennaParameterTrainingSet数据集是专为机器学习目的设计的，用于训练回归模型，以预测基于天线物理和电气参数的各种天线设计的表现指标。数据集包含与天线工程相关的属性，如频率范围、增益、效率、带宽和辐射模式。每个条目都有一组可能影响天线性能的参数和一个表示天线性能质量的数值标签，分数范围从0（性能差）到100（性能优秀）。

The AntennaParameterTrainingSet dataset is designed for machine learning purposes, specifically to train regression models that predict the performance metrics of various antenna designs based on their physical and electrical parameters. The dataset features attributes relevant to antenna engineering such as frequency range, gain, efficiency, bandwidth, and radiation pattern. Each entry includes a set of parameters that could influence the antennas performance, and a numerical label indicating the quality of the antennas performance, ranging from 0 (poor performance) to 100 (excellent performance).