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adaptively相关的网络例句

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Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified PCNN model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. Secondly, PCNN is extended to PCNNs, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. Thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification; Finally, based on the accumulative difference pictures, and the forming and transmission of PCNN wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction.

首先结合PCNN的同步脉冲发放和侧抑制特性,提出了基于改进型PCNN的图像凹点检测算法,该算法是一种自适应而有效的图像凹点检测方法,并且较好地仿真了人类视觉系统;然后,结合信息传递和信息耦合特性,将PCNN扩展成PCNNs,提出了一种基于PCNNs的图像融合算法,能够将多个传感器获取的同一目标的图像信息融合到一幅图像中,有效模拟了人类视觉系统;另外,结合PCNN的同步脉冲发放特性、捕获特性和波的传播竞争特性,开拓地将PCNN用于模式分类中,提出了基于耦合神经元点火捕获/抑制特性的分类方法和改进的约束距离下的PCNN分类方法,前者可实现对样本空间中任意复杂分布训练样本的稳健非线性分类,而后者能够消除训练样本中刺点对分类的影响;最后,结合累积差分图像思想、PCNN波的形成与传播特性,通过各神经元之间连接取向来选择与控制自动波的流向,将PCNN用于运动视觉分析中的运动轨迹模拟及运动方向检测。

Two new data structures TOPSIS-Tree and RELIS are devised to maintain potential significant itemsets and mined results, respectively. Moreover, three optimal strategies are exploited to reduce time and space consumption of the algorithms:(1) pruning impotent nodes in the newest basic window whenever a sliding window updates,(2) promoting support threshold during mining process dynamically, and (3) adjusting pruning threshold adaptively and heuristically.

设计概要结构TOPSIS-Tree和RELIS分别存储和记录流数据的摘要信息和当前滑动窗口的挖掘结果,并设计了三种优化策略用以提高算法的时空效率:(1)滑动窗口更新时剪枝最新基本窗口的无功节点;(2)挖掘过程中动态提升支持度阈值;(3)启发式自适应调整剪枝阈值。

The maximum-likelihood method is used to estimate the channel parameters after balanced homodyne detection. Then, Alice can change the intensity of optical pulses adaptively according to the estimated noise level, thereby a steady key rate can be obtained.

通过平衡零差检测后,采用最大似然估计法得到了信道参数,进而根据估计的噪声大小自适应调整Alice发送的光脉冲的强度,从而获得稳定的密钥生成率。

The maximum-likelihood method is used to estimate the channel parameters after balanced homodyne detection. Then, Alice can change the intensity of optical pulses adaptively according to the estimated noise level. Finally, a steady key rate can be obtained.

通过平衡零差检测后,采用最大似然估计法得到了信道参数,进而根据估计的噪声大小自适应调整Alice发送的光脉冲的强度,从而获得稳定的码率。

An incremental learning algorithm is deduced from the gradient descend algorithm. ILA can adjust parameters of RBF networks adaptively driven by minimizing the error cost.

在梯度算法基础推导出一种增量式的学习算法,在训练过程中该算法可以自适应调整网络参数。

The proposed scheme was proven secure against indistinguishably in adaptively chosen ciphertext and identity under the decision q-TBDHE assumption.

在判定性:q-TBDHE假设下,证明了所提方案在适应性选择密文和身份攻击下是不可区分的。

On the basis of above, this paper combines the Jayant adaptive quantization and G.728's gain prediction to propose a scheme fit for designing gain codebook of Low Delay Code Excited Linear Prediction, in which the exact gain value is adaptively predicted and quantized.

以此为基础,将Jayant的自适应量化与G.728的增益预测结合起来,提出一种适合于设计低时延码激励线性预测的增益码书的方案。

This classifier finished TM landcover by fuzzy logic reasoning, and the unclassified pixels increase K adaptively to be classified; It improved 2.7% and 2.9% in overall accuracy and Kapp coefficient compared with MLC, deceased 1% in Kapp coefficient and no change in overall accuracy compared with self-organizing network.

对拒分类的像元,自适应增加K值使其可分。该方法所得分类精度及Kapp系数与最大似然分类方法结果相比分别提高了2.7%和2.9%;与自组织网络相比,总精度相差不大,而Kapp系数低1%。

Compared with methods appeared in literatures, our algorithm, with high accuracy, sensitivity and correctness, complete adaptively the correct distinction between interferential fringes and backgrounds. In chapter four, methods for the computer operatable description of line and region features are discussed, which contains: Computation curve's curvature in quantity, Fringes' separation distance , Contour's smoothness of region, Similarity of varied curves.

在第三章中,本文研究的是以线条为直接目标的图象分割方法——条纹抽取,在研究分析了许多条纹抽取方法以后,针对激光全息焊点缺陷检测这一课题中的复杂数字光学图象LHII条纹抽取进行了多方面的研究,主要有:分别从点对应、邻域特性对应推导并提出了几个信息分离算法;结合光学图象形成方面的知识,提出了变周期余弦分割二值化方法;结合当前条纹走向、毗邻条纹走向及可靠条纹点约束条纹跟踪,在许多方面,改进并发展了常规的条纹跟踪算法,实现了无人-机交互的全自动条纹跟踪抽取。

Stack cache can be disabled adaptively, when it is overflown. It can also be applied to multithread scheme by adding thread identifier.

找高速缓存标志中增加进程标识,进程切换时不需要将数据写到低层存储系统中,适用于多进程环境。

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