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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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长春光学精密机械与物... [2]
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武汉病毒研究所 [1]
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OAI收割 [8]
iSwitch采集 [1]
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期刊论文 [7]
会议论文 [2]
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Virology [1]
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Research on the inverse kinematics of manipulator using an improved self-adaptive mutation differential evolution algorithm
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18
作者:
Zhang, Qianqian
;
Wang, Daqing
;
Gao, Lifu
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2022/03/21
DE
IK
adaptive mutation operator
adaptive scaling factor
orienting weighting factor
Opposition-based particle swarm optimization with adaptive mutation strategy
期刊论文
OAI收割
SOFT COMPUTING, 2017, 卷号: 21, 期号: 17, 页码: 5081-5090
作者:
Dong, Wenyong
;
Kang, Lanlan
;
Zhang, Wensheng
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收藏
  |  
浏览/下载:22/0
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提交时间:2018/03/03
Particle Swarm Optimization
Adaptive Mutation
Generalized Opposition-based Learning
Adaptive Nonlinear Inertia Weight
A single adaptive point mutation in Japanese encephalitis virus capsid is sufficient to render the virus as a stable vector for gene delivery
期刊论文
OAI收割
VIROLOGY, 2016, 卷号: 490, 页码: 109-118
作者:
Jia, Fan
;
Zhu, Xutao
;
Xu, Fuqiang
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2016/05/03
Japanese encephalitis virus
Adaptive mutation
Stable vector
Capsid
Gene delivery
Viral and Host Factors Required for Avian H5N1 Influenza A Virus Replication in Mammalian Cells
期刊论文
OAI收割
VIRUSES-BASEL, 2013, 卷号: 5, 期号: 6, 页码: 1431-1446
作者:
Zhang, H
;
Hale, BG
;
Xu, K
;
Sun, B
收藏
  |  
浏览/下载:38/0
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提交时间:2015/07/22
avian H5N1 influenza A viruses
replication in mammalian cells
molecular mechanisms
adaptive mutation
species barrier
The costs prediction of AOD furnace based on improved RBF neural network (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Na T.
;
Zhang D.-J.
;
Hui L.
收藏
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浏览/下载:17/0
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提交时间:2013/03/25
In order to predict the cost
a model of cost prediction was set up based on adaptive hierarchical genetic algorithm and RBF neural network. Hierarchical genetic algorithm could optimize the topology and the parameters simultaneously. Compared with simple genetic algorithm
it has more efficiency in not only accelerating and stabilizing the parameters training but also determining the structure of the network. Adaptive crossover and mutation probability could accelerate the speed and avoid prematurity. The model was tested by five samples. The results showed that the prediction model has high prediction accuracy
which indicated that it was applicable to predict the cost by the model. 2010 IEEE.
An adaptive image contrast enhancement based on differential evolution (EI CONFERENCE)
会议论文
OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
Yang Q.
收藏
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浏览/下载:17/0
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提交时间:2013/03/25
Tubbs proposed a regularized incomplete beta function to represent some nonlinear transform functions most commonly used in image contrast enhancement. But how to define the coefficients of the beta function adaptively is still a problem. Applying the differential evolution in image contrast enhancement
we utilize the global quickly search ability of the differential evolution algorithm
adaptive mutation
search
at last searches the optimal
values of beta function and gets an adaptive contrast enhanced image. To avoid trapping into local optimum
a chaotic differential evolution algorithm is proposed. Experimental results show that the proposed algorithm can find the global optimal
in few iterations and save largely computational time and complexity. 2010 IEEE.
Compensatory mutations in ns3 and ns5a proteins enhance the virus production capability of hepatitis c reporter virus
期刊论文
iSwitch采集
Virus research, 2009, 卷号: 145, 期号: 1, 页码: 63-73
作者:
Han, Qingxia
;
Xu, Chunlian
;
Wu, Chunchen
;
Zhu, Wenbo
;
Yang, Rongge
收藏
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浏览/下载:36/0
  |  
提交时间:2019/05/09
Hepatitis c virus
Hcv
Reporter virus
Adaptive mutation
Assembly
An Improved Particle Swarm Optimization Based on Self-Adaptive Escape Velocity
期刊论文
OAI收割
Chinese Journal of Software, 2005, 卷号: 16, 期号: 12, 页码: 2036-2044
作者:
Ran He(赫然)
;
Yongji Wang
;
Qing Wang
;
Jinhui Zhou
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收藏
  |  
浏览/下载:20/0
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提交时间:2018/06/07
Particle Swarm Optimization
Escape Velocity
Self-adaptive
Mutation
Swarm Intelligence
一种改进的自适应逃逸微粒群算法及实验分析
期刊论文
OAI收割
软件学报, 2005, 卷号: 16, 期号: 12, 页码: 2036-2044
赫然
;
王永吉
;
王青
;
周津慧
;
胡陈勇
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2010/08/17
微粒群算法
逃逸速度
自适应
变异操作
群体智能
particle swarm optimization
escape velocity
self-adaptive
mutation
swarm intelligence