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-关于机器学习的最新研究结果已经发表。据新闻报道NewsRx编辑从上海报道，《中国人民日报》，研究称，“在消防方面，”火灾动力学的实时知识至关重要，但往往无法获得。建筑几何测量气体温度被整合以确定火灾状态和预测温度的演变，利用一个结合长短期记忆网络和迁移学习的机器学习框架。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting out of Shanghai, People’s R epublic of China, by NewsRx editors, research stated, “In firefighting,real-tim e knowledge of fire dynamics is crucial yet often unavailable. The building geom etry and measuredgas temperatures are integrated to ascertain fire states and p redict temperature evolution, utilizing amachine learning framework that combin es long short-term memory networks and transfer learning.”
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