A fuzzy observations-based radial basis function neural network （FORBFNN） is presented for modeling nonlinear systems in which the observations of response are imprecise but can be represented as fuzzy membership fu...A fuzzy observations-based radial basis function neural network （FORBFNN） is presented for modeling nonlinear systems in which the observations of response are imprecise but can be represented as fuzzy membership functions. In the FORBFNN model, the weight coefficients of nodes in the hidden layer are identified by using the fuzzy expectation-maximization （ EM ） algorithm, whereas the optimal number of these nodes as well as the centers and widths of radial basis functions are automatically constructed by using a data-driven method. Namely, the method starts with an initial node, and then a new node is added in a hidden layer according to some rules. This procedure is not terminated until the model meets the preset requirements. The method considers both the accuracy and complexity of the model. Numerical simulation results show that the modeling method is effective, and the established model has high prediction accuracy.展开更多
[Objective] This study aimed to improve the quality characters of the male sterile restorer lines of Brassica napus by recurrent selection. [Method] The dominant male sterile alleles were used as outcross medium to be...[Objective] This study aimed to improve the quality characters of the male sterile restorer lines of Brassica napus by recurrent selection. [Method] The dominant male sterile alleles were used as outcross medium to be transformed with the favourable genes from thirteen materials, and finally excellent restorer materials were bred by recurrent selection. After that, the genetic diversity, genetic gains, fatty acid chain length and unsaturarion ratios of the improved populations were analyzed. [Result] The genetic diversity and genetic gains were obviously improved by the recurrent selection. Nine materials whose oil content exceeding 50% and 14 materials whose protein content exceeding 30% were acquired, and crossed with sterile lines. The comparative experiment showed that there were 11 combinations whose oil content was obviously enhanced compared with the control. [Conclusion] Recurrent selection is an effective way to improve the quality characters of the objective pop- ulations and breed favourable male sterile restorer lines of B. napus.展开更多
基金The National Natural Science Foundation of China(No.51106025,51106027,51036002)Specialized Research Fund for the Doctoral Program of Higher Education(No.20130092110061)the Youth Foundation of Nanjing Institute of Technology(No.QKJA201303)
文摘A fuzzy observations-based radial basis function neural network （FORBFNN） is presented for modeling nonlinear systems in which the observations of response are imprecise but can be represented as fuzzy membership functions. In the FORBFNN model, the weight coefficients of nodes in the hidden layer are identified by using the fuzzy expectation-maximization （ EM ） algorithm, whereas the optimal number of these nodes as well as the centers and widths of radial basis functions are automatically constructed by using a data-driven method. Namely, the method starts with an initial node, and then a new node is added in a hidden layer according to some rules. This procedure is not terminated until the model meets the preset requirements. The method considers both the accuracy and complexity of the model. Numerical simulation results show that the modeling method is effective, and the established model has high prediction accuracy.
基金Supported by Science and Technology Fund of Guizhou Province[(2010)2089]Fund of Engineering Research Center of Guizhou Province[(2012)4006]Fund from Guizhou Academy of Agricultural Sciences[(2011)017]~~
文摘[Objective] This study aimed to improve the quality characters of the male sterile restorer lines of Brassica napus by recurrent selection. [Method] The dominant male sterile alleles were used as outcross medium to be transformed with the favourable genes from thirteen materials, and finally excellent restorer materials were bred by recurrent selection. After that, the genetic diversity, genetic gains, fatty acid chain length and unsaturarion ratios of the improved populations were analyzed. [Result] The genetic diversity and genetic gains were obviously improved by the recurrent selection. Nine materials whose oil content exceeding 50% and 14 materials whose protein content exceeding 30% were acquired, and crossed with sterile lines. The comparative experiment showed that there were 11 combinations whose oil content was obviously enhanced compared with the control. [Conclusion] Recurrent selection is an effective way to improve the quality characters of the objective pop- ulations and breed favourable male sterile restorer lines of B. napus.
