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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 Novel Multivariate Decomposition Ensemble Model with News Text for Crude Oil Price Forecasting
其他
SSRN, 2022-08-10
作者:
Zhao, Zhengling
收藏
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浏览/下载：72/0
|
提交时间：2022/12/21
Costs
Crude oil
Data fusion
Forecasting
Machine learning
Crude oil price forecasting
Crude oil prices
Empirical Mode Decomposition
Ensemble models
Granger causality test
Hybrid forecasting
Machine-learning
Multivariate empirical mode decomposition
Sample entropy
Text-mining
Multi-perspective option price forecasting combining parametric and non-parametric pricing models with a new dynamic ensemble framework
期刊论文
Technological Forecasting and Social Change, 2024, 卷号: 204
作者:
Guo, Jingjun
;
Kang, Weiyi
;
Wang, Yubing
收藏
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浏览/下载：54/0
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提交时间：2024/06/12
Convolutional neural networks
Costs
Deep learning
Electronic trading
Financial markets
Forecasting
Investments
Neural network models
Parameter estimation-Artificial intelligence algorithms
Deep learning
Dynamic ensemble
Nonparametrics
Option price
Option price forecasting
Options pricing
Parameter optimization
Price forecasting
Pricing models
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
Applied Soft Computing, 2021, 卷号: 113
作者:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
收藏
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浏览/下载：71/0
|
提交时间：2023/03/06
Acoustic noise measurement
Convolution
Learning systems
Neural network models
Convolutional neural networks
Deep neural networks
Forecasting
Meteorology
Spurious signal noise
Adaptive noise
Complete ensemble empirical mode decomposition with adaptive noise
Convolutional neural network
Data patterns
Deep learning
Empirical Mode Decomposition
Forecasting models
PM 2.5
PM2.5 concentration forecasting
Temporal convolutional
SGB-ELM: An Advanced Stochastic Gradient Boosting-Based Ensemble Scheme for Extreme Learning Machine
期刊论文
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2018, 卷号: 2018
作者:
Guo, Hua
;
Wang, Jikui
;
Ao, Wei
;
He, Yulin
Adobe PDF(2005Kb)
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收藏
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浏览/下载：103/3
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提交时间：2021/03/24
Iterative methods
Knowledge acquisition
Machine learning
Optimization
Boosting mechanism
Derivation formulas
Ensemble methods
Extreme learning machine
Generalization performance
Objective functions
Second order optimization
Stochastic gradient boosting
Equalization ensemble for large scale highly imbalanced data classification
期刊论文
Knowledge-Based Systems, 2022, 卷号: 242
作者:
Ren, Jinjun
;
Wang, Yuping
;
Mao, Mingqian
;
Cheung, Yiu-ming
收藏
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浏览/下载：52/0
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提交时间：2022/12/21
Equalizers
Base classifiers
Data classification
Ensemble learning
Equalisation
Imbalanced data
Imbalanced data classification
Imbalanced dataset
Large scale data
Large-scales
Under-sampling
