16 citations · 42 across the 9 of their papers we have counts for
9 papers
Differential Convolutional Fuzzy Time Series Forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng +1
Fuzzy time series forecasting (FTSF) is a typical forecasting method with wide application. Traditional FTSF is regarded as an expert system which leads to loss of the ability to r…
Experimental violation of Leggett-Garg inequality in a three-level trapped-ion system
Tianxiang Zhan, Chunwang Wu, Manchao Zhang +9
Leggett-Garg inequality (LGI) studies the temporal correlation in the evolution of physical systems. Classical systems obey the LGI but quantum systems may violate it. The extent o…
Evaluating importance of nodes in complex networks with local volume information dimension
Hanwen Li, Qiuyan Shang, Fangzheng Duan +1
How to evaluate the importance of nodes is essential in research of complex network. There are many methods proposed for solving this problem, but they still have room to be improv…
DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting
Tianxiang Zhan, Yuanpeng He, Hanwen Li +1
Time series forecasting is a hot spot in recent years. Visibility Graph (VG) algorithm is used for time series forecasting in previous research, but the forecasting effect is not a…
Construction Cost Index Forecasting: A Multi-feature Fusion Approach
Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao
The construction cost index is an important indicator of the construction industry. Predicting CCI has important practical significance. This paper combines information fusion with…
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
Tianxiang Zhan, Yuanpeng He, Hanwen Li +1
Evidence theory is that the extension of probability can better deal with unknowns and inaccurate information. Uncertainty measurement plays a vital role in both evidence theory an…
Quantum soft likelihood function based on ordered weighted average operator
Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao
Quantum theory is the focus of current research. Likelihood functions are widely used in many fields. Because the classic likelihood functions are too strict for extreme data in pr…
A Fast Evidential Approach for Stock Forecasting
Tianxiang Zhan, Fuyuan Xiao
Within the framework of evidence theory, the confidence functions of different information can be combined into a combined confidence function to solve uncertain problems. The Demp…
A novel weighted approach for time series forecasting based on visibility graph
Tianxiang Zhan, Fuyuan Xiao
Time series has attracted a lot of attention in many fields today. Time series forecasting algorithm based on complex network analysis is a research hotspot. How to use time series…