Because the structure of the classical mathematical model of rolling load is simple, even with the self-adapting technology, it is difficult to accommodate the increasing dimensional accuracy. Motivated by this fact, ...Because the structure of the classical mathematical model of rolling load is simple, even with the self-adapting technology, it is difficult to accommodate the increasing dimensional accuracy. Motivated by this fact, an Innovations Feedback Neural Networks （IFNN） was presented based on the idea of Kalman prediction. The neural networks used the Back Propagation （BP） algorithm and applied it to the prediction of rolling load in hot strip mill. The theoretical results and the off-line simulation show that the prediction capability of IFNN is better than that of normal BP networks, namely, for the prediction of the rolling load in hot strip mill, the prediction precision of IFNN is higher than that of normal BP networks. Finally, a relative complete rolling load prediction system was developed on Windows 2003/XP platform using the OOP programming method and the SQL server2000 database. With this sys- tem, the rolling load of a 1700 strip mill was calculated, and the prediction results obtained correspond well with the field data. It shows that IFNN is valid for rolling load prediction.展开更多
A new method of establishing rolling load distribution model was developed by online intelligent information-processing technology for plate rolling. The model combines knowledge model and mathematical model with usin...A new method of establishing rolling load distribution model was developed by online intelligent information-processing technology for plate rolling. The model combines knowledge model and mathematical model with using knowledge discovery in database （KDD） and data mining （DM） as the start. The online maintenance and optimization of the load model are realized. The effectiveness of this new method was testified by offline simulation and online application.展开更多
Articular cartilage is a layer of low-friction,load-bearing soft hydrated tissue covering bone-ends in diarthrosis,which plays an important role in spreading the load,reducing the joint contact stress,joint friction a...Articular cartilage is a layer of low-friction,load-bearing soft hydrated tissue covering bone-ends in diarthrosis,which plays an important role in spreading the load,reducing the joint contact stress,joint friction and wear during exercise.The vital mechanical function展开更多
This paper highlights the importance of adopting use of solar kits to overcome the shortage of electricity supply in the city of Kinshasa instead of polluting generators.Given a need for electricity delivery estimated...This paper highlights the importance of adopting use of solar kits to overcome the shortage of electricity supply in the city of Kinshasa instead of polluting generators.Given a need for electricity delivery estimated at 5 kWh for a poor household of three occupants,a 1 kW solar kit sold for US$990 would perfectly replace SNEL network,the unique electric utility company that uses rolling blackout to handle its low power supply capability within the town,with all the environmental benefits in lieu of a 4 kW power generator sold at US$900 with all the consequences related to the use of fossil fuels in terms of CO2 emissions harmful to health and the environment.Similarly for a middle class household of five occupants,a solar kit of 3 kW to 2,700 dollars or 5 kW to 4,600 dollars is far preferable to an 8 kW generator of US$4,155 which pollutes and entails expenses related to the fuel consumption.展开更多
基金Item Sponsored by National Natural Science Foundation of China (60573172)Doctoral Startup Foundation of Liaoning Province of China (20031069)
文摘Because the structure of the classical mathematical model of rolling load is simple, even with the self-adapting technology, it is difficult to accommodate the increasing dimensional accuracy. Motivated by this fact, an Innovations Feedback Neural Networks （IFNN） was presented based on the idea of Kalman prediction. The neural networks used the Back Propagation （BP） algorithm and applied it to the prediction of rolling load in hot strip mill. The theoretical results and the off-line simulation show that the prediction capability of IFNN is better than that of normal BP networks, namely, for the prediction of the rolling load in hot strip mill, the prediction precision of IFNN is higher than that of normal BP networks. Finally, a relative complete rolling load prediction system was developed on Windows 2003/XP platform using the OOP programming method and the SQL server2000 database. With this sys- tem, the rolling load of a 1700 strip mill was calculated, and the prediction results obtained correspond well with the field data. It shows that IFNN is valid for rolling load prediction.
文摘A new method of establishing rolling load distribution model was developed by online intelligent information-processing technology for plate rolling. The model combines knowledge model and mathematical model with using knowledge discovery in database （KDD） and data mining （DM） as the start. The online maintenance and optimization of the load model are realized. The effectiveness of this new method was testified by offline simulation and online application.
基金National Natural Science Foundation of China,10872147Natural Science Foundation of Tianjin,09JCYBJC1400
文摘Articular cartilage is a layer of low-friction,load-bearing soft hydrated tissue covering bone-ends in diarthrosis,which plays an important role in spreading the load,reducing the joint contact stress,joint friction and wear during exercise.The vital mechanical function
文摘This paper highlights the importance of adopting use of solar kits to overcome the shortage of electricity supply in the city of Kinshasa instead of polluting generators.Given a need for electricity delivery estimated at 5 kWh for a poor household of three occupants,a 1 kW solar kit sold for US$990 would perfectly replace SNEL network,the unique electric utility company that uses rolling blackout to handle its low power supply capability within the town,with all the environmental benefits in lieu of a 4 kW power generator sold at US$900 with all the consequences related to the use of fossil fuels in terms of CO2 emissions harmful to health and the environment.Similarly for a middle class household of five occupants,a solar kit of 3 kW to 2,700 dollars or 5 kW to 4,600 dollars is far preferable to an 8 kW generator of US$4,155 which pollutes and entails expenses related to the fuel consumption.
