摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍了人工智能的新数据。根据新闻报道该研究源于俄罗斯Rostov Na Donu,由NewsRx记者报道,“一种新的方法”基于长期历史训练的人工智能模型对戈壁虎的评估提出了生态系统数据。这项研究使用历史档案的数据来获得每年的参数亚速海生态系统,包括顿河流量、水盐度、底栖动物相对生物量、沙鱼渔获量、鲟鱼渔获量和渔业生物量、戈壁鱼渔获量(预测因子)、戈壁鱼存量1970-2022年期间的生物量(可预测变量)动态。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Artific ial Intelligence. According to news reportingoriginating from Rostov Na Donu, R ussia, by NewsRx correspondents, research stated, “A novel approachto gobies st ock assessment based on training an artificial intelligence model using long-ter m historicalecosystem data was proposed. This research uses data from the histo rical archive for annual parameters ofthe Azov Sea ecosystem, including the Don River flow volume, water salinity, zoobenthos relative biomass,sander catches, sturgeons catches and fishery biomass, gobies catches (predictor factors), gobi es stockbiomass (predictable variable) dynamics during the period 1970-2022.”