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1)  mixed particle field(CR)
混合粒子场
1.
M_3 dwarf mutants derived from both mixed particle field(CR) and γ-rays irradiation in winter wheat varieties ZY9 and ZH7 were used to compare the DNA molecular differences of two induced mutagenesis by SSR polymorphism analysis.
为了研究高能混合粒子场(CR)和γ射线两种不同处理方法诱变小麦产生的具有相同表型的突变体之间的分子差异,选用随机分布于小麦21对染色体上的114对微卫星(SSR)引物,对CR和γ射线处理冬小麦品种ZY9和ZH7获得的矮杆突变体M3代进行SSR分析。
2)  mixed high-energy particle field
高能混合粒子场
1.
803 alfalfa,one was irradiated by mixed high-energy particle field(CR)with five doses,i.
分别用109、145、195、284和560Gy5个剂量的60Coγ射线和高能混合粒子场处理龙牧803紫花苜蓿干种子,种植后田间观察,测定株高、鲜草产量和品质含量来比较2种不同诱变方法所造成的损伤效应。
2.
Dry seeds of two winter wheat genotypes,ZY9 and ZH7,were irradiated by simulative cosmic rays of mixed high-energy particle field(shorted as CR) with different dosages of 0,109,145,195,284 and 560Gy,which was generated from E2 of LINAC of Beijing Electron Positron Collider,()~(60)Co γ-rays irradiation of the same dosage as the control.
高能混合粒子场对冬小麦幼苗的生长抑制和微卫星DNA的损伤效应大于γ射线。
3)  hybrid particle swarm
混合粒子群
4)  multiple particles fields
复合粒子场
5)  hybrid particle swarm algorithm
混合粒子群算法
1.
In order to avoid a great deal of computation and non-identifiable problem possibly presented in the traditional identification method,the hybrid particle swarm algorithm with gradient acceleration is applied to identify.
将基于满意聚类的Takagi-Sugeno建模方法和机理分析方法结合起来解决这些问题,并采用带有梯度加速的混合粒子群算法进行辨识,来解决运算量大和可能出现不可辨识的情况。
6)  Hybrid particle swarm optimization
混合粒子群优化
1.
A hybrid particle swarm optimization (HPSO) approach is presented to solve the problem of optimizing the steady-state temperatures of the three zones of a billet reheating furnace.
针对一种蓄热推钢式加热炉三个加热区的炉温稳态优化问题,本文提出了一种混合粒子群优化(HPSO)方法。
2.
Inspired by the idea of combining models to improve prediction accuracy and robustness,a new method based on hybrid particle swarm optimization algorithm for heterogeneous multi-model nonlinear soft sensing modeling was proposed.
基于异类组合预测模型可提高模型的预测精度及鲁棒性的思想,提出一种基于混合粒子群优化的异类多模型非线性组合软测量建模的新方法。
补充资料:WZ型无重力粒子混合机

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