农业水质重金属含量预测模型数据
收藏资源简介:
可以用于水质重金属含量预测,输入溶解氧浊度,电导率,氨氮.总磷,pH,温度,有机碳总量,细菌计数。输出为水质重金属含量。该模型帮助解决了水质重金属含量和水质理化参数以及水质状况关系建模的问题。使用理化实验以及温度计等采集水体水质等数据,将采集的数据使用传统算法,多元线性回归算法等方式以预测水质重金属含量。该模型通过输入溶解氧浊度,电导率,氨氮.总磷,pH,温度,有机碳总量,细菌计数,来输出预测的水质重金属含量。
This dataset is applicable to water quality heavy metal content prediction. Its input features include dissolved oxygen, turbidity, electrical conductivity, ammonia nitrogen, total phosphorus, pH, temperature, total organic carbon, and bacterial count, while the output is water quality heavy metal content. This model addresses the problem of modeling the relationships among water quality heavy metal content, water physicochemical parameters and water quality status. Water quality data was collected via physicochemical experiments, thermometers and other relevant instruments. The collected data was processed using traditional algorithms such as multiple linear regression to predict water quality heavy metal content. By inputting the aforementioned water quality physicochemical parameters, the model can output the predicted water quality heavy metal content.
数据集概述
数据集名称
浙江省数据知识产权登记平台
数据集描述
浙江省数据知识产权登记平台是由浙江知识产权研究与服务中心推出的区块链数据知识产权登记系统。该平台支持数据知识产权登记、知识产权证书申请、原创作品登记确权、维权服务申请、维权证据出具、知识产权转让等场景。通过登记、确权、维权、交易等多维度为创作者的知识产权提供保护。
关键词
区块链、知识产权、数据存证、知识产权存证、知识产权研究与服务中心、数据知识产权登记、浙江省数据知识产权登记平台




