首页> 外文期刊>Network Daily News >Research from China Institute of Water Resources and Hydropower Research Provide New Insights into Physics (Compaction Density Evaluation Model of Sand-Gravel Dam Based on Elman Neural Network With Modified Particle Swarm Optimization)
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Research from China Institute of Water Resources and Hydropower Research Provide New Insights into Physics (Compaction Density Evaluation Model of Sand-Gravel Dam Based on Elman Neural Network With Modified Particle Swarm Optimization)

机译:中国水利水电科学研究院的研究和水电研究提供新的视角物理(压实密度的评价模型砂石大坝基于Elman神经网络改进粒子群优化)

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By a News Reporter-Staff News Editor at Network Daily News - A new study on physics is now available. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “The compaction density of sand-gravel materials has a strong gradation correlation, mainly affected by some material source parameters such as P5 content (material proportion with particle size greater than 5 mm), maximum particle size and curvature coefficient.”
机译:由一个新闻记者在网络新闻编辑每日新闻》——一项新的研究在物理学是现在可用。北京,中华人民共和国,NewsRx记者,研究指出,“压实砂石材料的密度有很强分级的相关性,主要受到一些影响材料参数如P5内容来源(材料与粒度更大的比例超过5毫米)、最大粒径和曲率系数”。

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