The ground-state transition probability of impurity bound polaron in quantum rod

2013 ◽  
Vol 418 ◽  
pp. 69-72 ◽  
Author(s):  
Zhi-xin Li ◽  
Cheng-hong Yin
2018 ◽  
Vol 98 (4) ◽  
Author(s):  
D. Studer ◽  
L. Maske ◽  
P. Windpassinger ◽  
K. Wendt

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuling Hong ◽  
Yingjie Yang ◽  
Qishan Zhang

PurposeThe purpose of this paper is to solve the problems existing in topic popularity prediction in online social networks and advance a fine-grained and long-term prediction model for lack of sufficient data.Design/methodology/approachBased on GM(1,1) and neural networks, a co-training model for topic tendency prediction is proposed in this paper. The interpolation based on GM(1,1) is employed to generate fine-grained prediction values of topic popularity time series and two neural network models are considered to achieve convergence by transmitting training parameters via their loss functions.FindingsThe experiment results indicate that the integrated model can effectively predict dense sequence with higher performance than other algorithms, such as NN and RBF_LSSVM. Furthermore, the Markov chain state transition probability matrix model is used to improve the prediction results.Practical implicationsFine-grained and long-term topic popularity prediction, further improvement could be made by predicting any interpolation in the time interval of popularity data points.Originality/valueThe paper succeeds in constructing a co-training model with GM(1,1) and neural networks. Markov chain state transition probability matrix is deployed for further improvement of popularity tendency prediction.


2019 ◽  
Vol 100 (6) ◽  
Author(s):  
O. S. Kirsebom ◽  
M. Hukkanen ◽  
A. Kankainen ◽  
W. H. Trzaska ◽  
D. F. Strömberg ◽  
...  

2016 ◽  
Vol 94 (1) ◽  
Author(s):  
N. Cieplicka-Oryńczak ◽  
B. Szpak ◽  
S. Leoni ◽  
B. Fornal ◽  
D. Bazzacco ◽  
...  

2007 ◽  
Vol 90 (13) ◽  
pp. 131905 ◽  
Author(s):  
R. Kudrawiec ◽  
S. R. Bank ◽  
H. B. Yuen ◽  
H. Bae ◽  
M. A. Wistey ◽  
...  

1964 ◽  
Vol 42 (6) ◽  
pp. 1311-1323 ◽  
Author(s):  
M. A. Eswaran ◽  
C. Broude

Lifetime measurements have been made by the Doppler-shift attenuation method for the 1.98-, 3.63-, 3.92-, and 4.45-Mev states in O18 and the 1.28-, 3.34-, and 4.47-Mev states in Ne22, excited by the reactions Li7(C12, pγ)O18 and Li7(O16, pγ)Ne22. Branching ratios have also been measured. The results are tabulated.[Formula: see text]The decay of the 3.92-Mev state in O18 is 93.5% to the 1.98-Mev state and 6.5% to the ground state and of the 4.45-Mev state 74% to the 3.63-Mev state, 26% to the 1.98-Mev state, and less than 2% to the ground state. In Ne22, the ground-state transition from the 4.47-Mev state is less than 2% of the decay to the first excited state.


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