Autor: Bao, M. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Micropropagation of Rosa rugosa through axillary shoot proliferation
Autorzy:: Xing, W.
Bao, M.
Qin, H.
Ning, G.
Powiązania:: https://bibliotekanauki.pl/articles/19164.pdf
Data publikacji:: 2010
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Źródło:: Acta Biologica Cracoviensia. Series Botanica; 2010, 52, 2
0001-5296
Pojawia się w:: Acta Biologica Cracoviensia. Series Botanica
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Pinning synchronization of two general complex networks with periodically intermittent control
Autorzy:: Meng, F.
Wen, B.
Zhao, M.
Bao, W.
Powiązania:: https://bibliotekanauki.pl/articles/964048.pdf
Data publikacji:: 2015
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: complex networks synchronization
pinning control
intermittent control
Opis:: In this paper, the method of periodically pinning intermittent control is introduced to solve the problem of outer synchronization between two complex networks. Based on the Lyapunov stability theory, differential inequality method and adaptive technique, some simple synchronous criteria have been derived analytically. At last, both the theoretical and numerical analysis illustrate the effectiveness of the proposed control methodology. This method not only reduces the conservatism of control gain but also saves the cost of production.These advantages make this method having a large application scope in the real production process.
Źródło:: Archives of Control Sciences; 2015, 25, 4; 497-512
1230-2384
Pojawia się w:: Archives of Control Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Shrinkage Porosity Criterion and Its Application to A 5.5 Ton Steel Ingot
Autorzy:: Zhang, C.
Bao, Y.
Wang, M.
Zhang, L.
Powiązania:: https://bibliotekanauki.pl/articles/382021.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: foundry industry
quality management
shrinkage porosity
ingot solidification
application of information technology
numerical simulation
przemysł odlewniczy
zarządzanie jakością
porowatość
krzepnięcie
zastosowanie technologii informatycznych
symulacja numeryczna
Opis:: In order to predict the distribution of shrinkage porosity in steel ingot efficiently and accurately, a criterion R√L and a method to obtain its threshold value were proposed. The criterion R√L was derived based on the solidification characteristics of steel ingot and pressure gradient in the mushy zone, in which the physical properties, the thermal parameters, the structure of the mushy zone and the secondary dendrite arm spacing were all taken into consideration. The threshold value of the criterion R√L was obtained with combination of numerical simulation of ingot solidification and total solidification shrinkage rate. Prediction of the shrinkage porosity in a 5.5 ton ingot of 2Cr13 steel with criterion R√L>0.21 m･℃1/2･s-3/2 agreed well with the results of experimental sectioning. Based on this criterion, optimization of the ingot was carried out by decreasing the height-to-diameter ratio and increasing the taper, which successfully eliminated the centreline porosity and further proved the applicability of this criterion.
Źródło:: Archives of Foundry Engineering; 2016, 16, 2; 27-32
1897-3310
2299-2944
Pojawia się w:: Archives of Foundry Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Topological properties of four-layered neural networks
Autorzy:: Javaid, M.
Abbas, M.
Liu, Jia-Bao
Teh, W. C.
Cao, Jinde
Powiązania:: https://bibliotekanauki.pl/articles/91541.pdf
Data publikacji:: 2019
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: degree of node
topological properties
neural network
probabilistic neural
network
Opis:: A topological property or index of a network is a numeric number which characterises the whole structure of the underlying network. It is used to predict the certain changes in the bio, chemical and physical activities of the networks. The 4-layered probabilistic neural networks are more general than the 3-layered probabilistic neural networks. Javaid and Cao [Neural Comput. and Applic., DOI 10.1007/s00521-017-2972-1] and Liu et al. [Journal of Artificial Intelligence and Soft Computing Research, 8(2018), 225-266] studied the certain degree and distance based topological indices (TI’s) of the 3-layered probabilistic neural networks. In this paper, we extend this study to the 4-layered probabilistic neural networks and compute the certain degree-based TI’s. In the end, a comparison between all the computed indices is included and it is also proved that the TI’s of the 4-layered probabilistic neural networks are better being strictly greater than the 3-layered probabilistic neural networks.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 2; 111-122
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki