此算法不要求系统参数更多的先验知识。
This algorithm requires not much apriori knowledge of the system parameters.
计算比较简单，不需要任何先验知识和预定的参数。
It is simple in computation, requiring no apriori knowledge and predetermined parameters.
讨论了一种新的无须任何先验知识的星图识别算法。
A new star pattern recognition algorithm without any apriori attitude knowledge is described.
它用外星人来取代实际实际物种，是为了确信参与者不能利用先验知识。
It used aliens in place of actual species to be certain that the participants could not draw on prior knowledge.
但它存在需要语音信号的先验知识，分类决策能力弱等缺点。
But it needs prior knowledge of speech signal and its classification and decision making capability is weak.
在先验知识（样本）较少的条件下该系统仍具有良好的推广能力。
The generalizing ability of intrusion detection system is still good when the priori knowledge is less (namely, the sample size is small).
本文提出了一种估计具有先验知识的多正弦信号参数的改进方法。
An improved approach is proposed for the sinusoidal retrieval in the presence of prior knowledge.
这种新算法因为有变形场的先验知识，所以可以得到更好配准结果。
The algorithm led to a better result of registration for the use of the apriori knowledge.
该研究为遥感图像处理及目标识别等任务提供了背景杂波的先验知识。
This research provides tasks such as remote sensing image processing and target recognition with pre-knowledge of background clutters.
另外，还讨论了6ff40的纵向、径向分辨率和先验知识的利用等问题。
In addition, prior information, the radial and vertical resolution of the 6ff40 is also investigated.
本文提出了一种新的有效的场景聚类算法，无需先验知识，自动决定算法停止点。
This thesis proposes a new effective scene clustering method which can automatically decide the stop point without prior knowledge.
该方法无需知道信号的先验知识，适合于信噪比很低的信号，有一定的应用前景。
The method is effective for lower SNR signal without transcendental knowledge, and has good future in applications.
WBXML的基本原理在于利用DTD的先验知识，您可以将标签缩小到一个字节。
The basic idea behind WBXML is that by taking advantage of foreknowledge of the DTDs, you can minimize the tags to one byte.
粗集方法可直接处理歼击机的可测输出信号，不需要对象的数学模型和相关先验知识。
The proposed method dealt with measurable signal of the aircraft, mathematical model and no relevant transcendental knowledge was needed.
基于压缩传感的MRI图像重构利用图像稀疏的先验知识能从很少的投影值重构原图像。
The reconstruction of MRI based on compressed sensing is able to recover the original image from the fewer projections using the sparse priors of image.
通过在目标函数中增加先验知识约束，我们可以解决波阻抗反演的病态问题及带限问题。
By introducing the prior information constraint in the objective function, we can solve the ill-posed problem and band-limited problem for the impedance inversion.
先验知识常常对事情实际结果没有影响——我们还是会得到同样的成绩——然而我们还是极度想知道。
Prior knowledge frequently has no effect on the actual outcome of the event – we’ll get the same grade regardless – and yet we still desperately want to know.
然后利用ART （自适应共振理论）网络对残差进行自动分类，不需要故障的先验知识。
Second, ART(Adaptive Resonance Theory)is adopted to classify the residuals automatically, no apriori knowledge is required.
盲图像恢复的主要困难是信息不足，而为了恢复图像和确定点扩散函数需要适当的先验知识。
The primary difficulty with blind image restoration is insufficient information. This calls for proper incorporation of apriori knowledge about the image and the point-spread function(PSF).
它的主要目的是改善给定的图像质量，利用退化现象的某种先验知识来重建或恢复原有图像。
Its major purpose is improving the image quality, using certain prior knowledge of image degeneration to rebuild or restore the original image.
利用先验知识和神经网络黑箱建模相结合，对一类复杂滞后非线性系统进行了杂交建模研究。
Hybrid modeling for a kind of nonlinear system with hysteresis is studied, which combined prior knowledge with neural networks black-box modeling.
在实际的SAR图像分类应用中，我们关于类别的先验知识非常少，极化信息的利用也不充分。
In the practical applications of SAR image classification, we have little prior knowledge about the classes and we rarely use polar information.
属性直方图是一种由先验知识约束的直方图，它可以使一些图像处理方法得到简化和变得可行。
A bound histogram is the histogram bound by some prior knowledge, and it can make some image processing methods be simple and feasible.
基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
实验说明，基于贝叶斯网络推理的知识可以不断修正先验知识，获得对客户流失等问题的正确认识。
Experiments prove that the priority knowledge can be corrected continually by inference information of Bayesian network, and help to solve the problem of subscriber churn.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
算法将网络训练看成是求解一个优化问题，网络权是优化变量，而先验知识则是优化问题中的约束项。
It takes the network training process as to solve a nonlinear optimization problem. The network weights are optimization variables and prior-knowledge is the constraint.
这种方法可直接处理系统的可测输出信号，不需要对象的数学模型和相关先验知识，具有较高的实用性。
This method directly deals with measurable signal of the system, mathematical modal and relevant transcendental knowledge isn't needed, so it is more practical than other methods.
这种方法可直接处理系统的可测输出信号，不需要对象的数学模型和相关先验知识，具有较高的实用性。
This method directly deals with measurable signal of the system, mathematical modal and relevant transcendental knowledge isn't needed, so it is more practical than other methods.
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