| 1. | As a result , the mdl principle can attain higher model accuracy while the model complexity is lowest
因而， mdl准则可以确保用最低的模型复杂性达到高的模型精确度。 |
| 2. | By exploiting feedback adjustment , the proposed algorithm requires less model accuracy , together with decreased computation and fastened speed
该算法实现了模型的在线反馈校正，对模型的精度要求不高，且运算量较小，速度较快。 |
| 3. | Wavelet neural - networks is used to compensate inverse error of dynamic inversion controller brought by error of model accuracy in this dissertation
本文针对由于模型精度所引起的动态逆控制器的逆误差，采用小波神经网络来实现补偿。 |
| 4. | To accurately predict forming limit , a criterion to reflect material performance in essence was indispensable besides increasing the fea model accuracy
为了准确地预测成形极限，除了提高有限元模拟精度外，应找到一种本质地反映材料性能的韧性断裂准则。 |
| 5. | The proposed methods can be used as data preparation techniques to detect bad data and fill the blank with a more accuracy value in an initial series . the modeling accuracy of grey system is greatly improved by such methods
2 、针对序列中含有空穴或不良数据的情况，将参数估计与不良数据辨识理论作为数据预处理技术应用于灰色系统建模，使得模型预测结果更为精确。 |
| 6. | Based on the experiment , the feasibility of this ve modeling method based on the operating and controlling platform is validated , and an analysis of the relationship between the modeling accuracy and the influencing factors such as sensor calibration is carved out
本文通过实验验证了基于虚拟环境操控平台进行远端环境建模的可行性,分析了传感器标定等建模精度的影响因素与建模误差之间的关系。 |
| 7. | According to the absolute value of correlation coefficient , the degree of correlation between input and output variables can be estimated and selected or not , which not only increases the neural network mathematical model accuracy , but also reduces the complexity
通过其相关系数绝对值的大小来判断该输入量与输出量的相关程度，进而对其进行取舍。该方法不仅可以提高神经网络数学模型的准确度，而且还有效的减小模型的复杂性。 |
| 8. | The primary works and innovations of this paper include but not limited to : ( 1 ) considering the nonlinear , time - varying and uncertain characteristics of networks , a new active queue management ( aqm ) algorithm , i . e . nnpc - aqm was proposed based on predictive control theory , which requires less model accuracy . in order to realize fast control , a predictor was constructed using two - layer linear neural network to predict the future queue length , and a controller was composed using two layers of nonlinear neural network to optimize the next control volume , i . e . drop probability
本文研究的主要内容及创新点如下： ( 1 )针对网络的非线性、时滞、不确定特点，结合预测控制理论提出一种新型主动队列管理( aqm )策略nnpc - aqm ，该算法基于单值预测控制思想，为了实现快速控制，采用两层神经网络构造预测器，估计未来时刻队列长度；采用两层非线性神经网络组成控制器，实现对下一步丢弃概率的优化。 |
| 9. | Furthermore , in order to improve the modeling accuracy of the whole robot structure , the elastic boundary pole with multi - restriction and the spatial lamella are study in this paper by using bem , and the boundary integral equations are set up . this lays foundations for introducing the spatial elements combined structure and the composed configure of the staff and plate , which has much application values
此外，为了提高机器人机械结构的静力学建模精度，本论文还对多约束柔性边界杆件及空间板单元结构进行了解析研究，建立了相应的边界元方程，为空间板单元组合结构及板梁合成的引入及研究打下了基础。 |
| 10. | Although the research of industrial robotic manipulators and their control algorithms has had a long history , it ' s difficult to apply many algorithms to real plants because of the high non - linearity , high coupling , time variation of the system , problem in model accuracy , computation consumption and equipment costs
工业机械手及其控制算法研究已经有了几十年的历史。但是由于工业机械手是一个高度非线性、强耦合、时变的系统，模型精度问题、庞大的计算量和设备成本成为了很多理论算法投入生产实践应用的“瓶颈” 。 |
