| 1. | Grouped weight matrix for splice site recognition
模型的参数估计 |
| 2. | Pwm , position weight matrix
结合位置权重矩阵 |
| 3. | Numerical algorithms for the weighting matrix q of discrete - time lq optimal control systems
最优控制逆问题解的数值算法 |
| 4. | Construction of weighting matrixes in mixed sensitivities h controller design for aeroengine
涡扇发动机转速鲁棒控制器设计及试验 |
| 5. | In this paper , grouped weight matrix ( gwm ) method is proposed for splice site recognition
摘要提出识别剪切位点的分组权重矩阵方法。 |
| 6. | The gwm model for splice signals is a mixture of weight matrix models ( wmm ) with unknown number of components
分组权重矩阵是一个子总体数未知的混合权重矩阵模型。 |
| 7. | It should be mentioned that all the results obtained in this chapter is relevant to the hypnosis that the weight matrix is symmetric . chapter 5 is made up of two sections
而这些结果都不是以连接权矩阵具有对称性作为前提，所以部分结果涵盖了原有的在对称连接权矩阵条件下的前人的一些结果 |
| 8. | The two - stage method , including the weighting matrix important for the stage - two regression , is discussed detailedly in the paper . 4 . analysis of the attenuation law of ground motion energy
本文对两步回归法做了详细的论述，尤其对第二步回归分析时的加权矩阵做了细致的分析，并编制了计算程序。 |
| 9. | By contriving appropriate algorithms in the computations , the regularized parameter can automatically correct to the appropriate value due to its adaptive character , meanwhile , the adaptive effect is developed with a weight matrix included in the regularized item
运算中合理地设计算法,自适应的正则化参数可以自动修正到最优值,同时自适应加权的正则项使算法的性能更加完善。 |
