An adaptive chaotic gradient descending optimization algorithm for single objective optimization was presented. A local minimum judged by two rules was obtained by an improved mutative-step gradient descending method....An adaptive chaotic gradient descending optimization algorithm for single objective optimization was presented. A local minimum judged by two rules was obtained by an improved mutative-step gradient descending method. A new optimal minimum was obtained to replace the local minimum by mutative-scale chaotic search algorithm whose scales are magnified gradually from a small scale in order to escape local minima. The global optimal value was attained by repeatedly iterating. At last, a BP (back-propagation) neural network model for forecasting slag output in matte converting was established. The algorithm was used to train the weights of the BP neural network model. The simulation results with a training data set of 400 samples show that the training process can be finished within 300 steps to obtain the global optimal value, and escape local minima effectively. An optimization system for operation parameters, which includes the forecasting model, is achieved, in which the output of converter increases by 6.0%, and the amount of the treated cool materials rises by 7.8% in the matte converting process.展开更多
This article analyzes the shift factors of the descending node local time for sun-synchronous satellites and proposes a shift control method to keep the local time shift within an allowance range. It is found that the...This article analyzes the shift factors of the descending node local time for sun-synchronous satellites and proposes a shift control method to keep the local time shift within an allowance range. It is found that the satellite orbit design and the orbit injection deviation are the causes for the initial shift velocity, whereas the atmospheric drag and the sun gravitational perturbation produce the shift acceleration. To deal with these shift factors, a shift control method is put forward, through such methods as orbit variation design, orbit altitude, and inclination keeping control. The simulation experiment and practical application have proved the effectiveness of this control method.展开更多
INTRODUCTION The number of caves of thermal water origin is significant even by global standards in Hungary. The rich forms and mineral precipitations of these caves can’t be attributed to the impact of descending co...INTRODUCTION The number of caves of thermal water origin is significant even by global standards in Hungary. The rich forms and mineral precipitations of these caves can’t be attributed to the impact of descending cold karst waters or to the effect of subhorizontal streaming of the cold waters at the karst water展开更多
Four different rose hybrid populations were analyzed by ISSR technique with nine polymorphic primers. All of the primers produced 64 bands, of which 59 were polymorphic. The average of polymorphic bands was 6.6 for ea...Four different rose hybrid populations were analyzed by ISSR technique with nine polymorphic primers. All of the primers produced 64 bands, of which 59 were polymorphic. The average of polymorphic bands was 6.6 for each primer. The percentage of polymorphism ranged from 57.1% to 100%, with an average of 92.3%. An UPGMA dendrogram showed five groups. The primer numbered with PI9 and PI11 had relatively high resolution in identifying the F1 offspring in this research.展开更多
文摘An adaptive chaotic gradient descending optimization algorithm for single objective optimization was presented. A local minimum judged by two rules was obtained by an improved mutative-step gradient descending method. A new optimal minimum was obtained to replace the local minimum by mutative-scale chaotic search algorithm whose scales are magnified gradually from a small scale in order to escape local minima. The global optimal value was attained by repeatedly iterating. At last, a BP (back-propagation) neural network model for forecasting slag output in matte converting was established. The algorithm was used to train the weights of the BP neural network model. The simulation results with a training data set of 400 samples show that the training process can be finished within 300 steps to obtain the global optimal value, and escape local minima effectively. An optimization system for operation parameters, which includes the forecasting model, is achieved, in which the output of converter increases by 6.0%, and the amount of the treated cool materials rises by 7.8% in the matte converting process.
基金supported by the China Postdotoral Science Foundation(20060401004)
文摘This article analyzes the shift factors of the descending node local time for sun-synchronous satellites and proposes a shift control method to keep the local time shift within an allowance range. It is found that the satellite orbit design and the orbit injection deviation are the causes for the initial shift velocity, whereas the atmospheric drag and the sun gravitational perturbation produce the shift acceleration. To deal with these shift factors, a shift control method is put forward, through such methods as orbit variation design, orbit altitude, and inclination keeping control. The simulation experiment and practical application have proved the effectiveness of this control method.
文摘INTRODUCTION The number of caves of thermal water origin is significant even by global standards in Hungary. The rich forms and mineral precipitations of these caves can’t be attributed to the impact of descending cold karst waters or to the effect of subhorizontal streaming of the cold waters at the karst water
基金Supported by the National Natural Science Foundation of China (31171986)Science and Technology Creative Talents of the Special Fund Project of Harbin (RC2012XK002013)Overseas Scholars Research Funding Project of Education Department of Heilongjiang Province (1154h04)
文摘Four different rose hybrid populations were analyzed by ISSR technique with nine polymorphic primers. All of the primers produced 64 bands, of which 59 were polymorphic. The average of polymorphic bands was 6.6 for each primer. The percentage of polymorphism ranged from 57.1% to 100%, with an average of 92.3%. An UPGMA dendrogram showed five groups. The primer numbered with PI9 and PI11 had relatively high resolution in identifying the F1 offspring in this research.
