| 1. | So far , there is no method can solve these software cost estimation problems perfectly
目前还没有一种单纯的方法可以较好地解决软件成本估算中的问题。 |
| 2. | In order to solve the estimation problem of pn sequences itself , a code recovery algorithm based on subspace tracking is proposed
该算法通过应用past技术,求出两个主特征向量,实现扩频码序列的恢复。 |
| 3. | In addition , a novel hnn method is put forward to deal with the estimation problem of the state - space expressions of general linear dynamic systems
此外,本文还提出了一种基于输入输出数据的线性系统状态空间表达式的hnn参数估计方法。 |
| 4. | Computation . earn a hall of fame trophy while correctly solving addition , subtraction , multiplication , division as well as equivalencies and estimation problems
计算：在正确解决加减乘除，等值及估算类型的问题的同时，获得各式各样的奖杯。 |
| 5. | Simulation results and real - life data are used to show the feasibility of the proposed method . ls - ar spectrum method and ga - mpsv are presented to solve the estimation problems in chaotic noise
基于混沌噪声的预测值，提出了混沌噪声中的信号检测方案，并进行了相应的仿真试验。 |
| 6. | The optimal solu tion of real control can be obtained by means of iteratively solving the op timiz ation problem based on bilinear model and parameter estimation problem
在模型与实际存在差异的情况下，通过求解修正的基于双线性模型的优化问题和参数估计问题，给出了实际问题的最优解。 |
| 7. | Recent researches have showed that sea clutter can be modeled as chaotic dynamic . local prediction technique is used for detection and estimation problem in chaotic environment for radar signal processing
提出了一种基于神经网络的信号检测方案；信号检测解决了信号的有无判断问题，而参数估计则是要解决信号参量的确定问题。 |
| 8. | By applying generalized svm and least square svm of classification to regression estimation problem , fuzzy generalized weighted svm and fuzzy multiplayer least square generalized svm are proposed . 3
把针对分类问题的广义svm及最小二乘广义svm用来处理回归估计问题，并和模糊svm结合起来形成了基于模糊加权的广义svm和基于模糊的多层最小二乘广义svm 。 |
| 9. | 6 . we discuss a new popular approach , which is called particle filter , to state estimation problem for non - linear , non - gaussian system . in addition , some potential problems of the particle filter have been presented
分析了目前广泛应用于非线性非高斯系统状态估计的“粒子”滤波( particlefilter )算法的基本思想，指出其存在的问题和可能的研究方向。 |
| 10. | On the basis of the perturbed karush - kuhn - tucker ( kkt ) conditions of the primal problem , this paper presents a new interior point algorithm to solve power system weighted nonlinear l ( norm ( ipwnl1 ) state and parameter estimation problem
基于原问题的扰动karush - kuhn - tucker ( kkt )条件，本文提出了一种新的电力系统加权非线性l1范数状态及参数估计内点算法。 |
