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From the perspective of covering points in high-dimensional space, we discussed the theory of constrictive PONN based on knowledge rules. PONN's general constructive algorithm and its two special methods based on random sampling and barycenter rules respectively were proposed in this paper.

从高维空间样本点覆盖的角度，讨论了基于知识规则的构造性优先排序神经网络算法的原理，提出了网络构造过程的一般算法以及基于随机取样规则和重心点规则的两个实例算法。

Considering the dispersity, covertness and fuzziness of drawing information, we propose a layered interpretation technology for engineering drawing based on geometry complexity. This technology uses layered organization of drawing information and primitive layered recognition based on the integration of drawing information to get the entity.

本文针对图样信息分散性、隐含性、模糊性的特点，引入了图样信息几何复杂度的概念，在此基础上提出了工程图样的层次理解技术，即通过对图样信息的分层组织和基于图样信息集成的基元体分层识别得到图样所表达的形体。

A kind of visual prediction and analysis framework of the execution time of real-time software based on program flowchart is proposed in the paper. The key issues of implementing the framework are discussed in detail, including creating the mapping between intermediate code segment and statement line of source code, retrieving the time of any given program segment from the perspective of CPU cycles of goal machine instruct, calculating CPU cycles of statement lines of source code, point-to-point WCETC (worst case execution time calculated) analysis algorithm based on program flowchart, and transforming CPU cycle into physical time.

提出了一种基于控制流程图的程序执行时间的可视化分析框架，研究了中间代码段与源程序中语句的对应关系的自动分析、源程序语句行的CPU周期数的提取和计算方法、基于控制流程图的点到点最大时间分析算法和CPU周期的绝对时间估计方法。

Based on the EDF strategy, an adaptive dynamic criticalness algorithm was introduced to reduce scheduling miss ratio. In order to lower the task missed deadline percentage and make sure the success of scheduling ratio of critical tasks, the group tasks and the selection scheduling strategy based on the judgment function were adopted.

在优先级调度策略的基础上，引入自适应调度策略来降低调度错失率，采用任务分组的方法，通过判断函数动态地选择调度策略，利用可达截止期优先来降低任务错失率，保证了全局优先级高的任务的调度成功率。

In the respect of data adaptability, MARS is relatively more suitable to credit score model building based on current credit data in China, for the classification accurate rate of General Cross Validation Value is better than based on data from UK.

在对数据的适应性方面，相对来说，MARS方法更适用于基于中国个人信用数据建立个人信用评分模型，其最终模型的GCV值分类准确率都好于基于英国个人信用数据得到模型。

A new measurement system based on linear structured light is presented for measuring grinding wheel morphology. Based on the principle of invariance of cross ratio, the method of calibration is modified, so that the process is simplified, and the result of measurement is easier to analyze.

提出了一种新的基于线激光的视频测量系统来对砂轮地貌进行测量，以交比不变法则为基础，改进了线结构光测量中的定标方法，使得定标过程简化，且结果更易分析处理。

The main job and contribution of this paper are as follows:Based on narrowband signal processing, we propose a new method for FH signal blind detection and blind parameter estimation. Firstly, compute the cross-correlation function of FH signals from multichannels, then we get the cross power spectral density matrixCSDM Secondly, select the hops of FH signals from the CSDM via processing and analyzing the CSDM, meanwhile reduce the influence coming from noise, fixed frequency signal and other interferences; Lastly, estimating the DOA of every hop and according to the DOA, we can separate the hops, get the number of FH signals and their parameters. Propose a new method for designing the threshold in FH signal detection. This method makes it easy to get the threshold by theoretic computing and it can extremely reduce the interference of non-FH signals.Based on broadband signal processing, we propose a new method for FH signal blind detection and blind parameter estimation. Firstly, get the DOA of the signals by wideband spatial spectrum estimation; secondly, separate the signals by spatial filtering using wideband beamformer; Lastly, we propose two methods for FH signal blind detection and blind parameter estimation, one is for several constant hop-rate FH signals whose dwell-time are different and another is for a single FH signal whose hop-rate is alterable.By employing spatial interpolation in broadband signal beamforming, it can reduce the number of antenna elements and corresponding RF modules, A/D converters, etc. It can also eliminate the mutual coupling between antenna elements while getting the narrower main beamwidth and lower sidelobe level.

本文的主要研究工作和贡献如下：●提出了一种基于窄带处理的FH信号盲检测和参数盲估计的实现方法，即首先求出多路信号之间的互相关，进而得到互功率谱密度矩阵，然后通过对CSDM进行对折处理来抑制噪声、定频信号及其他干扰的影响，并将所有属于FH信号的hop(每一跳的驻留时间在时频图上持续的线段)从CSDM中筛选出来，最后用阵列信号处理中的到达方向估计理论在频域中估计出各个hop的方向参数，利用方位信息完成FH信号分离并得到FH信号的数目及其各自的参数集；●提出了一种确定FH信号检测门限的策略，该策略不仅使得检测门限能够通过理论计算得到，而且还显著地抑制了非跳频信号的干扰，从而能有效地检测出FH信号；●提出了一种基于宽带处理的短波FH信号盲检测和参数盲估计的实现方法，即首先利用宽带空间谱测向技术得到接收信号的DOA，然后采用宽带波束形成技术对特定方向进行空间滤波，实现多个信号的分离，最后分别提出了两种FH信号的盲检测和参数盲估计方法，第一种方法适用于空间某个特定方向上存在着几个驻留时间不同的恒跳速FH信号和其他干扰信号的混合信号，第二种方法适用于空间某个特定方向上仅含一个可变跳速的FH信号和噪声的混合信号；●将空间插值的概念和宽带波束形成技术结合起来，提出了一种基于频域处理的宽带恒定束宽的波束形成方法。

Based on the analysis to the particularity of the cruise missile attacking, a complete recognition method based on the knowledge is developed.

复杂背景下的目标识别一直是人们关注的问题。

This work presents a viscosity model based on Peng-Robinson cubic equation of state for a better description of viscosity. A viscosity model has been developed based on the similarity between PVTand TμP relationship and the PR EOS.

本文基于P-V-T-与T-μ-P关系的相似性，结合Peng-Robinson立方型状态方程，建立了一个预测纯烷烃气液相粘度的统一模型。

Concerning the disadvantage of the original PSO that is easily trapped in the local optimization and the convergence speed is slow in the evolution later, a particle swarm collaborative optimization algorithm based on velocity angle was proposed. The strategy of inertia weight adjustment was adopted based on cumulative distribution function of Gaussian distribution.

针对PSO存在易陷入局部极值、进化后期收敛速度缓慢的缺点，提出一种基于速度夹角的粒子群协同优化算法，并且引入了一种基于高斯分布的累积分布函数的惯性权重调整策略。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。