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兰州财经大学机构知识库
Lanzhou University of Finance and Economics. All
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A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting
期刊论文
Resources Policy, 2022, 卷号: 77
作者:
Sun, Jingyun
;
Zhao, Panpan
;
Sun, Shaolong
收藏
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浏览/下载：70/0
|
提交时间：2023/02/24
Knowledge acquisition
Costs
Machine learning
Crude oil
Empirical mode decomposition
Learning algorithms
Entropy
Chaotic sparrow search algorithm
Chaotics
Crude oil forecasting
Crude oil futures
Kernel extreme learning machine
Oil forecasting
Oil futures price
Permutation entropy
Search Algorithms
Secondary decomposition
Identifying Top-k Influential Nodes Based on Discrete Particle Swarm Optimization With Local Neighborhood Degree Centrality
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 21345-21356
作者:
Han, Lihong
;
Zhou, Qingguo
;
Tang, Jianxin
;
Yang, Xuhui
;
Huang, Hengjun
收藏
|
浏览/下载：163/0
|
提交时间：2021/04/08
Social networking (online)
Particle swarm optimization
Optimization
Search problems
Integrated circuit modeling
Heuristic algorithms
Social sciences
Discrete particle swarm optimization
local search strategy
neighbourhood degree centrality
top-k influential nodes
social network
Self-adaptive differential evolution with quantum behaviors for numerical optimization
期刊论文
ICIC Express Letters, 2012, 卷号: 6, 期号: 11, 页码: 2789-2795
作者:
Ma, Xiaoting
;
Chen, Chen
收藏
|
浏览/下载：117/0
|
提交时间：2021/03/24
Evolutionary algorithms
Optimization
Adaptation
Adaptive crossovers
Complex optimization
Convergence rates
Differential Evolution
Experimental studies
Numerical optimizations
Optimization problems
Quantum
Quantum behaviors
Scale Factor
Self
adaptive
Solution accuracy
Stochastic search algorithms
Particle swarm optimization with opposition-based learning and parent centric crossover
期刊论文
ICIC Express Letters, 2014, 卷号: 8, 期号: 6, 页码: 1711-1717
作者:
Chen, Chen
;
Ma, Xiaoting
收藏
|
浏览/下载：97/0
|
提交时间：2021/03/24
Algorithms
Global optimization
Stochastic systems
Benchmark functions
Computational results
Crossover
Multimodal problems
Numerical optimizations
Opposition
based learning
Optimization problems
Stochastic search algorithms
SMpeaks-A semi-supervised clustering algorithm based on density peaks
会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Qingdao, China, July 8, 2022 - July 10, 2022
作者:
Duan, Huiyu
;
Chen, Chen
;
Wang, Jikui
收藏
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浏览/下载：72/0
|
提交时间：2022/12/21
Clustering algorithms
Machine learning
Arbitrary shape
Cluster centers
Clusterings
Density
Different densities
Different sizes
Fast search
Multiple-peak
Semi-supervised clustering algorithms
Semi-supervised learning
Information system attribute reduction parallel algorithm based on information entropy
会议论文
Lecture Notes in Electrical Engineering, Changsha, China, 2012-07-01 - 2012-07-02
作者:
Yang, Chunlin
;
Zhang, Zhonglin
;
Zhang, Jun
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浏览/下载：77/0
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提交时间：2021/03/24
Automation
Classification (of information)
Information systems
Information use
Parallel algorithms
Attribute reduction
Information entropy
Large datasets
parallel calculate
Search spaces
System layer
