The Dirac symbol is used to represent the discrete complex Hopfield neural network model.The signal-to-noise theory and the computer numerical solution are made to analyse the storage capacity of the model.The storage...The Dirac symbol is used to represent the discrete complex Hopfield neural network model.The signal-to-noise theory and the computer numerical solution are made to analyse the storage capacity of the model.The storage capacity ratio of the model equals to that of the Hopfield model.Finally,using the model to recognize the 4-level grey or color patterns is discussed.展开更多
An energy-saving scheme for pumping units via intermission start-stop performance is proposed. Because of the complexity of the oil extraction process, Fuzzy Neural Network (FNN) intelligent control is adopted. The st...An energy-saving scheme for pumping units via intermission start-stop performance is proposed. Because of the complexity of the oil extraction process, Fuzzy Neural Network (FNN) intelligent control is adopted. The structure of the Takagi-Sugeno (T-S) fuzzy neural network model is introduced and modified. FNNs are trained with sample information from oil fields and expert knowledge. Finally, pumping unit energy-saving FNN software, which cuts down power costs substantially, is presented.展开更多
Cobalt disulfide(CoS_(2))has been considered a promising anode material for lithium-ion batteries(LIBs)due to its high theoretical capacity of 870 mA h g^(-1).However,its practical applications have been hampered by u...Cobalt disulfide(CoS_(2))has been considered a promising anode material for lithium-ion batteries(LIBs)due to its high theoretical capacity of 870 mA h g^(-1).However,its practical applications have been hampered by undesirable cycle life and rate performance due to the volume change and deterioration of electronic conductivity during the dischargecharge process.In this study,an interconnected CoS_(2)/N-doped carbon/carbon nanotube(CoS_(2)/NC-CNTs-700)network was successfully prepared to boost its lithium storage performance,in which small-size CoS_(2)nanoparticles were confined by N-doped carbon and uniformly decorated on the surface of CNTs.N-doped carbon can effectively accommodate the large volume expansion of CoS_(2)nanoparticles.Additionally,the 3D conductive nanostructure design offers adequate electrical/mass transport spacing.Benefiting from this,the CoS_(2)/NCCNTs-700 electrode demonstrates a long cycle life(a residual capacity of 719 mA h g^(-1)after 100 cycles at 0.2 A g^(-1))and outstanding rate performance(335 mA hg^(-1)at 5.0 A g^(-1)).This study broadens the design and application of CoS_(2)and fosters the advances in battery anode research.展开更多
文摘The Dirac symbol is used to represent the discrete complex Hopfield neural network model.The signal-to-noise theory and the computer numerical solution are made to analyse the storage capacity of the model.The storage capacity ratio of the model equals to that of the Hopfield model.Finally,using the model to recognize the 4-level grey or color patterns is discussed.
文摘An energy-saving scheme for pumping units via intermission start-stop performance is proposed. Because of the complexity of the oil extraction process, Fuzzy Neural Network (FNN) intelligent control is adopted. The structure of the Takagi-Sugeno (T-S) fuzzy neural network model is introduced and modified. FNNs are trained with sample information from oil fields and expert knowledge. Finally, pumping unit energy-saving FNN software, which cuts down power costs substantially, is presented.
基金the National Postdoctoral Program for Innovative Talents(BX20190157)the General Financial Grant from China Postdoctoral Science Foundation(2019M660979)+3 种基金the Fundamental Research Funds for the Central Universities,Nankai University(63201059)the Program of Introducing Talents of Discipline to Universities(B18030)the National Natural Science Foundation of China(21421001 and 21531005)the Natural Science Foundation of Tianjin(19JCZDJC37200)。
文摘Cobalt disulfide(CoS_(2))has been considered a promising anode material for lithium-ion batteries(LIBs)due to its high theoretical capacity of 870 mA h g^(-1).However,its practical applications have been hampered by undesirable cycle life and rate performance due to the volume change and deterioration of electronic conductivity during the dischargecharge process.In this study,an interconnected CoS_(2)/N-doped carbon/carbon nanotube(CoS_(2)/NC-CNTs-700)network was successfully prepared to boost its lithium storage performance,in which small-size CoS_(2)nanoparticles were confined by N-doped carbon and uniformly decorated on the surface of CNTs.N-doped carbon can effectively accommodate the large volume expansion of CoS_(2)nanoparticles.Additionally,the 3D conductive nanostructure design offers adequate electrical/mass transport spacing.Benefiting from this,the CoS_(2)/NCCNTs-700 electrode demonstrates a long cycle life(a residual capacity of 719 mA h g^(-1)after 100 cycles at 0.2 A g^(-1))and outstanding rate performance(335 mA hg^(-1)at 5.0 A g^(-1)).This study broadens the design and application of CoS_(2)and fosters the advances in battery anode research.
