Aiming at the problem of the quality chain synergy effects evaluation, this paper constructed an index system of quality chain synergetic evaluation and established quality chain synergetic evaluation model of BP neur...Aiming at the problem of the quality chain synergy effects evaluation, this paper constructed an index system of quality chain synergetic evaluation and established quality chain synergetic evaluation model of BP neural network. On the basis of training original data by BP neural network and processing the original sample data by the method of Grey Theory, the text achieved the measure of quality chain synergy effects. And the validity of the method is also verified by simulation analysis展开更多
The objective of this study is to examine several optimization problems in the batch mixing of segregating particulate solids that can be set up and solved using Markov chain models. To improve the adequacy of such mo...The objective of this study is to examine several optimization problems in the batch mixing of segregating particulate solids that can be set up and solved using Markov chain models. To improve the adequacy of such models and exclude some physical contradictions that arise in the linear form, a non-linear Markov chain model for the mixing of segregating components is proposed. Optimal solutions are obtained by controlling the particle flow outside the mixing operating volume while the components are being loaded, modifying particle circulation inside the mixing zone during the process, and by structuring the load in the mixing zone. Solutions are found that not only reduce the negative influence of segregation, but also exclude it altogether. The gain resulting from optimization grows with the rate of segregation. The optimal solutions presented here can be used to improve the design of mixers.展开更多
基金supported by the National Natural Science Foundation of China(U1404702)
文摘Aiming at the problem of the quality chain synergy effects evaluation, this paper constructed an index system of quality chain synergetic evaluation and established quality chain synergetic evaluation model of BP neural network. On the basis of training original data by BP neural network and processing the original sample data by the method of Grey Theory, the text achieved the measure of quality chain synergy effects. And the validity of the method is also verified by simulation analysis
文摘The objective of this study is to examine several optimization problems in the batch mixing of segregating particulate solids that can be set up and solved using Markov chain models. To improve the adequacy of such models and exclude some physical contradictions that arise in the linear form, a non-linear Markov chain model for the mixing of segregating components is proposed. Optimal solutions are obtained by controlling the particle flow outside the mixing operating volume while the components are being loaded, modifying particle circulation inside the mixing zone during the process, and by structuring the load in the mixing zone. Solutions are found that not only reduce the negative influence of segregation, but also exclude it altogether. The gain resulting from optimization grows with the rate of segregation. The optimal solutions presented here can be used to improve the design of mixers.
