Institution
Xuzhou Institute of Technology
Education•Xuzhou, China•
About: Xuzhou Institute of Technology is a education organization based out in Xuzhou, China. It is known for research contribution in the topics: Catalysis & Adsorption. The organization has 1696 authors who have published 1521 publications receiving 13541 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, an error correction model was established by combining the experimental values and the calculated values obtained by the semi-empirical method AM1, and using the multiple stepwise regression (MSR) method on the training set to obtain five descriptors that have a large effect on the error term, and the linear equation of the correction model is derived.
3 citations
TL;DR: The hybrid evolutionary algorithm based on complex-valued restricted additive tree and firefly algorithm is proposed to search the optimal CVSS model and could obtain the better RMSE, MAP, MAPE, POCID, R2, and ARV performances than ARIMA, radial basis function neural network (RBFNN), flexible neural tree (FNT), and S-system.
Abstract: Symbolic regression has been utilized to infer mathematical formulas in order to solve the complex prediction and classification problems. In this paper, complex-valued S-system model (CVSS) is proposed to predict real-valued time series data. In a CVSS model, input variables and rate constants are complex-valued. The time series data need to be translated into complex numbers. The hybrid evolutionary algorithm based on complex-valued restricted additive tree and firefly algorithm is proposed to search the optimal CVSS model. Three financial time series data and Mackey–Glass chaos time series are collected to evaluate our proposed method. The experiment results show that the predicted data are very close to the target ones and our method could obtain the better RMSE, MAP, MAPE, POCID, , and ARV performances than ARIMA, radial basis function neural network (RBFNN), flexible neural tree (FNT), ordinary differential equation (ODE), and S-system.
3 citations
TL;DR: In this paper, a multiconfiguration Dirac-Hartree-Fcok (MCDHF) method was used to calculate the energy, lifetimes, hyperfine structures and Lande gJ-factors of the n − 3 states (1s22s22p6)3s23p3, 3s3p4, and 3s 23p23d configurations of phosphorus-like Kr XXII, as well as wavelengths, line strengths, oscillator strengths, transitions rates for electric dipole (E1), electric quadrupole (
3 citations
TL;DR: In this article, the effects of silicon on maize seedlings under pH stress were investigated under pH stres... and they found that silicon has a significant function in reducing abiotic stresses on plants.
Abstract: Silicon(Si) has a significant function in reducing abiotic stresses on plants. pH stress is one of abiotic stresses. We investigated the effects of silicon on maize seedlings under pH stres...
3 citations
24 Sep 2011
TL;DR: A new adaptive immune genetic algorithm (AIGA) is proposed, which makes use of a new vaccine selection strategy and vaccine operation approach and realizes the optimization of multiple target logistics distribution with the combination of parallel selection.
Abstract: Logistics distribution routing optimization is a problem of multiple objective and multiple constraints. Specific to two disadvantages of genetic algorithm, namely, the poor convergence rate and tendency of local optimum, this paper manages to propose a new adaptive immune genetic algorithm (AIGA), which makes use of a new vaccine selection strategy and vaccine operation approach and realizes the optimization of multiple target logistics distribution with the combination of parallel selection. The simulation result shows that both the convergence and efficiency are evidently improved, indicating that AIGA is a preferably better way to solve the problem of routing optimization.
3 citations
Authors
Showing all 1711 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Peng Wang | 108 | 1672 | 54529 |
| Qiong Wu | 51 | 316 | 12933 |
| Wenping Cao | 34 | 176 | 4093 |
| Bin Hu | 30 | 213 | 3121 |
| Syed Abdul Rehman Khan | 29 | 131 | 2733 |
| Jingui Duan | 29 | 93 | 3807 |
| Vivian C.H. Wu | 25 | 105 | 2566 |
| Lei Chen | 16 | 99 | 1062 |
| Chao Wang | 16 | 74 | 741 |
| Wenbin Gong | 16 | 27 | 953 |
| Jing Li | 16 | 40 | 1025 |
| Chao Liu | 15 | 43 | 737 |
| Qinglin Wang | 14 | 72 | 595 |
| Yaocheng Zhang | 14 | 54 | 566 |
| Chao Wang | 13 | 25 | 774 |