为解决中央处理器(Central Processing Unit, CPU)性能分析所面临的分析指标复杂、分析过程不具有可解释性、分析结果不可追溯的问题,提出了一种融合ER(Evidence Reasoning)和分层BRB(Belief Rule Base)的CPU性能分析模型.首先,利用ER...为解决中央处理器(Central Processing Unit, CPU)性能分析所面临的分析指标复杂、分析过程不具有可解释性、分析结果不可追溯的问题,提出了一种融合ER(Evidence Reasoning)和分层BRB(Belief Rule Base)的CPU性能分析模型.首先,利用ER算法从不同层面对处理器影响因素进行指标评估,其次,通过分层BRB实现对CPU性能的综合分析,最后,采用鲸鱼优化算法(Whale Optimization Algorithm, WOA)对模型参数优化.通过UCI数据库(University of California Irvine, UCI)计算机硬件数据集验证了模型的有效性.整个分析模型建立在ER算法上,保证了模型推理的可解释性,而分层BRB方法解决了传统BRB的组合规则爆炸问题,同时结合优化算法有效的提高模型的准确度.展开更多
Red mud has relatively small solid particles(d50=13.02μm)and will flow in paste form under high pressure during pipe- line transport.Red mud belongs to a two-phase flow of materials with high viscosity and a high con...Red mud has relatively small solid particles(d50=13.02μm)and will flow in paste form under high pressure during pipe- line transport.Red mud belongs to a two-phase flow of materials with high viscosity and a high concentration of non-sedimentation,homogeneous solid-liquids.It is difficult to test its rheological properties under atmospheric pressure.Measurements such as rota- tional viscometry can not reflect the real state of the material when it is flowing in a pipe.Tested rheological parameters are some- what higher than the actual values.In our investigation,grain shape,distinctive modality and grain size distribution of red mud were tested.Based on the principle of tube measurement,rheological experiments on red mud at different concentrations were car- ried out by using our independently developed tube-type pressure rheology test facility,and obtained constitutive equations.We conclude that red mud behaves as non-Newtonian pseudo-plastic fluid in pipe flows.Its consistency and power-law indices vary considerably with different concentrations.展开更多
文摘为解决中央处理器(Central Processing Unit, CPU)性能分析所面临的分析指标复杂、分析过程不具有可解释性、分析结果不可追溯的问题,提出了一种融合ER(Evidence Reasoning)和分层BRB(Belief Rule Base)的CPU性能分析模型.首先,利用ER算法从不同层面对处理器影响因素进行指标评估,其次,通过分层BRB实现对CPU性能的综合分析,最后,采用鲸鱼优化算法(Whale Optimization Algorithm, WOA)对模型参数优化.通过UCI数据库(University of California Irvine, UCI)计算机硬件数据集验证了模型的有效性.整个分析模型建立在ER算法上,保证了模型推理的可解释性,而分层BRB方法解决了传统BRB的组合规则爆炸问题,同时结合优化算法有效的提高模型的准确度.
文摘Red mud has relatively small solid particles(d50=13.02μm)and will flow in paste form under high pressure during pipe- line transport.Red mud belongs to a two-phase flow of materials with high viscosity and a high concentration of non-sedimentation,homogeneous solid-liquids.It is difficult to test its rheological properties under atmospheric pressure.Measurements such as rota- tional viscometry can not reflect the real state of the material when it is flowing in a pipe.Tested rheological parameters are some- what higher than the actual values.In our investigation,grain shape,distinctive modality and grain size distribution of red mud were tested.Based on the principle of tube measurement,rheological experiments on red mud at different concentrations were car- ried out by using our independently developed tube-type pressure rheology test facility,and obtained constitutive equations.We conclude that red mud behaves as non-Newtonian pseudo-plastic fluid in pipe flows.Its consistency and power-law indices vary considerably with different concentrations.
