Binary particle swarm optimization algorithm(BPSOA) has the excellent characters such as easy to implement and few set parameters.But it is tendentious to stick in the local optimal solutions and has slow convergence ...Binary particle swarm optimization algorithm(BPSOA) has the excellent characters such as easy to implement and few set parameters.But it is tendentious to stick in the local optimal solutions and has slow convergence rate when the problem is complex.Cultural algorithm(CA) can exploit knowledge extracted during the search to improve the performance of an evolutionary algorithm and show higher intelligence in treating complicated problems.So it is proposed that integrating binary particle swarm algorithm into cultural algorithm frame to develop a more efficient cultural binary particle swarm algorithm (CBPSOA) for fault feature selection.In CBPSOA,BPSOA is used as the population space of CA;the evolution of belief space adopts crossover,mutation and selection operations;the designs of acceptance function and influence function are improved according to the evolution character of BPSOA.The tests of optimizing functions show the proposed algorithm is valid and effective.Finally,CBPSOA is applied for fault feature selection.The simulations on Tennessee Eastman process (TEP) show the CBPSOA can perform better and more quickly converge than initial BPSOA.And with fault feature selection,more satisfied performance of fault diagnosis is obtained.展开更多
The purpose of this paper is to examine the similarities and differences between pronouns in Korean and Myanmar. In other words, we try to help Korean and Myanmar learners to study personal pronouns by comparing the p...The purpose of this paper is to examine the similarities and differences between pronouns in Korean and Myanmar. In other words, we try to help Korean and Myanmar learners to study personal pronouns by comparing the personal pronouns between the two languages. Personal pronouns are used in Myanmar as “pronouns referring to people” as in Korean. The two languages are divided into first person, second person, and third person pronoun. However, looking at functions and usage, there seem to be many differences between the two languages. For example, in the case of Myanmar language, personal pronouns are different according to gender and personal pronouns are used differently for general people and monks. Myanmar also uses the personal pronouns differently depending on colloquial and written language. In the case of Korean language, there is no big difference between the sexes in different languages but there is difference between the people and monks in terms of Myanmar language. However, Korean people have difficulties in learning personal pronouns because their usage differs according to their status and social status. Therefore, in order to solve this problem, it is meaningful to identify commonalities and differences between languages by comparing characteristics and use of personal pronouns between the two languages.展开更多
基金National High Technology Research and Development Program of China(No.2007AA04Z171)
文摘Binary particle swarm optimization algorithm(BPSOA) has the excellent characters such as easy to implement and few set parameters.But it is tendentious to stick in the local optimal solutions and has slow convergence rate when the problem is complex.Cultural algorithm(CA) can exploit knowledge extracted during the search to improve the performance of an evolutionary algorithm and show higher intelligence in treating complicated problems.So it is proposed that integrating binary particle swarm algorithm into cultural algorithm frame to develop a more efficient cultural binary particle swarm algorithm (CBPSOA) for fault feature selection.In CBPSOA,BPSOA is used as the population space of CA;the evolution of belief space adopts crossover,mutation and selection operations;the designs of acceptance function and influence function are improved according to the evolution character of BPSOA.The tests of optimizing functions show the proposed algorithm is valid and effective.Finally,CBPSOA is applied for fault feature selection.The simulations on Tennessee Eastman process (TEP) show the CBPSOA can perform better and more quickly converge than initial BPSOA.And with fault feature selection,more satisfied performance of fault diagnosis is obtained.
文摘The purpose of this paper is to examine the similarities and differences between pronouns in Korean and Myanmar. In other words, we try to help Korean and Myanmar learners to study personal pronouns by comparing the personal pronouns between the two languages. Personal pronouns are used in Myanmar as “pronouns referring to people” as in Korean. The two languages are divided into first person, second person, and third person pronoun. However, looking at functions and usage, there seem to be many differences between the two languages. For example, in the case of Myanmar language, personal pronouns are different according to gender and personal pronouns are used differently for general people and monks. Myanmar also uses the personal pronouns differently depending on colloquial and written language. In the case of Korean language, there is no big difference between the sexes in different languages but there is difference between the people and monks in terms of Myanmar language. However, Korean people have difficulties in learning personal pronouns because their usage differs according to their status and social status. Therefore, in order to solve this problem, it is meaningful to identify commonalities and differences between languages by comparing characteristics and use of personal pronouns between the two languages.
