共查询到20条相似文献，搜索用时 281 毫秒
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在二维局部保持投影中引入类间结构信息和类标签,得到有监督的二维判别局部保持投影算法,从而提高了特征集的鉴别性。针对算法中参数的选取问题,建立无参数权重矩阵,提出无参数的二维判别局部保持投影(无参数2D-DLPP)算法。在Yale和ORL人脸库上的仿真实验结果表明,该算法与二维判别局部保持投影(2D-DLPP)、二维局部保持投影法(2D-LPP)和二维线性判别分析法(2D-LDA)相比能够取得更高的识别率。 相似文献
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基于多尺度投影方法,构造了求解半正定病态积分方程的截断快速Lavrentiev迭代算法,并给出了新的后验参数选择办法.与传统全投影方法相比,减少了内积计算个数,保持了最优收敛率.最后,算例验证了算法的有效性. 相似文献
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许邓艳卢民荣 《福建工程学院学报》2020,(4):358-364
提出基于反向随机局部投影的神经网络效率改进算法，通过降低深度学习中的网络规模，重点解决了从“局部连接”到“全连接”和随机节点抽取时输入端节点信息丢失的问题，从而提升网络的效率。在算法中设置缩减参数，提升了算法的可伸展性，以适用于不同数据集的学习。通过数据集ISO-LET进行实验，结果表明，基于反向随机局部投影的神经网络效率改进算法的准确率、效率分别平均提升了3.48%和105.21%?在迭代20次的实验中进行了缩减参数调节实验，当参数设置为1.4时其准确率则优于传统全连接网络2.61%，效率提升了272.78%，具有明显的优势。 相似文献
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在Banach空间中,引入了一种混合投影迭代算法用来构造平衡问题与渐进非扩张映像不动点问题的公共元,并利用广义投影算子证明了此迭代算法生成的序列强收敛于这两个问题的公共元. 相似文献
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基于截断投影方法,构造了求解半正定病态积分方程的Lavrentiev截断快速算法,给出了先验误差估计,并提出了新的后验参数选择准则,与传统投影方法相比得到了相同的最优收敛率,但内积的计算个数少于传统投影方法. 相似文献
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介绍了一种精确定位眼睛的方法,该算法先利用改进的人脸图像的垂直灰度积分投影确定脸的左右边界,再根据人脸图像的水平灰度投影曲线来确定眼睛的大致高度;还将传统的积分投影方法与本文提出的微分投影相结合,实验结果表明该算法消除了背景、头发及服装等干扰,定位准确率高. 相似文献
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空间直角坐标系的三个轴互相垂直。把坐标系向轴测投影面投影时，坐标轴与轴测投影面的垂线的三个夹角，坐标轴与投影方向的三个夹角以及投影方向与轴测投影面的夹角，都直接影响到轴测投影的结果，因此讨论各个夹角之间的关系是必要的。本文讨论了相关七个夹角参数之间的关系。 相似文献
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基于电路功耗、电路延迟与工作电压之间的基本关系式,提出并证明了与DVS策略应用相关的4个定理.首先,针对单任务证明了最优工作电压的存在特性,即只需在一维电压的范畴内为单任务选择某个最优工作电压,且该电压所对应的任务结束时间必须与任务的截止期限保持一致.然后指出在同等条件下,DVS策略执行单任务所能达到的最小能耗必低于DPM策略或者DVS和DPM结合策略所对应的最小能耗.最后,针对多任务组提出了能耗最小化定理,指出在满足所有任务截止期限的前提下,处理器能耗最小化的必要条件是处理器必须在整个任务段期间一直处于执行任务的状态. 相似文献
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以多峰二元函数为例,合理选择编码方式,采用排序选择结合精英保留策略的遗传算法,解决多峰二元函数全局优化的问题。并采用VB语言编程实现该遗传算法,生成可视化界面,便于观察每一代的进化过程,为遗传算法解决多峰二元函数全局优化问题提供了一种有效的方法。 相似文献
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Parameters selection in gene selection using Gaussian kernel support vector machines by genetic algorithm 总被引：2，自引：0，他引：2
INTRODUCTION Recent techniques based on oligonucleotide or cDNA microarrays allow the expression level of thousands of genes to be monitored in parallel (Golub et al., 1999). A critically important factor for cancer diagnosis and treatment is the reliable prediction of tumor progression. A remarkable advance for mo- lecular biology and for cancer research is cDNA mi- croarray technology. cDNA microarray datasets havea high dimensionality corresponding to the large number of genes monit… 相似文献
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应用于分级网络的可扩展拓扑聚集算法 总被引：1，自引：0，他引：1
拓扑聚集在可扩展的路由机制中十分重要，如何在简化网络拓扑信息的同时获得好的性能，是拓扑聚集算法的关键问题．本提出了一个描述逻辑链路的新方法，能够简单有效地描述加性和乘性参数约束的网络，并扩展到多参数约束的情况．在此基础上，提出了一个改进的星型聚集算法．仿真结果表明该算法具有很好的性能． 相似文献
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The mass of the embedded systems are driven by second batteries, not by wired power supply. So saving energy is one of the main design goals for embedded system. In this paper we present a new technique for modelling and solving the dynamic power management (DPM) problem for embedded systems with complex behavioural characteristics. First we model a power-managed embedded computing system as a controllable Flow Chart. Then we use the Poisson process for optimisation, and give the power management algorithm by the help of Dynamic Voltage Scaling (DVS) technology. At last we built the experimental model using the PXA 255 Processors. The experimental results showed that the proposed technique can achieve more than12％ power saving compared to other existing DPM techniques. 相似文献
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Genetic optimization algorithm of PID decoupling control for VAV air-conditioning system 总被引：1，自引：0，他引：1
Variable-air-volume (VAV) air-conditioning system is a multi-variable system and has multi coupling control loops. While all
of the control loops are working together, they interfere and influence each other. A multivariable decoupling PID controller
is designed for VAV air-conditioning system. Diagonal matrix decoupling method is employed to eliminate the coupling between
the loop of supply air temperature and that of thermal-space air temperature. The PID controller parameters are optimized
by means of an improved genetic algorithm in floating point representations to obtain better performance. The population in
the improved genetic algorithm mutates before crossover, which is helpful for the convergence. Additionally the micro mutation
algorithm is proposed and applied to improve the convergence during the later evolution. To search the best parameters, the
optimized parameters ranges should be amplified 10 times the initial ideal parameters. The simulation and experiment results
show that the decoupling control system is effective and feasible. The method can overcome the strong coupling feature of
the system and has shorter governing time and less over-shoot than non-optimization PID control. 相似文献
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Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is personalized based on learning and solving problem styles. The purposed algorithm, based on ACO, generates the adaptive optimal learning path. The algorithm describes an architecture which supports the recording, processing and presentation of collective learner behavior designed to create a feedback loop informing learners of successful paths towards the attainment of learning goals. The algorithm parameters are tuned dynamically to conform to the actual pedagogical process. The article includes the results of implementation and experiment represent this algorithm is able to provide its main purpose which is finding optimal learning paths based on learning styles and improved performance of previous adaptive tutoring systems. 相似文献
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和声搜索算法参数的均匀设计 总被引：2，自引：0，他引：2
和声搜索算法的参数设置主要是依靠经验和试验来确定,造成试验工作量大且难以得到最优的参数组合,影响了算法的应用.文中通过将和声搜索算法参数设置问题描述成均匀设计中多因素、多水平的试验设计,从而能够用较少的试验很快设置算法参数的取值.仿真试验表明,利用均匀设计得到的参数组合可使算法获得较优的寻优性能,说明了该方法的可行性和有效性. 相似文献
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Least squares support vector machines （LS-SVMs） are modified support vector machines （SVMs） that involve equality constraints and work with a least squares cost function, which simplifies the optimization procedure. In this paper, a novel training algorithm based on total least squares （TLS） for an LS-SVM is presented and applied to multifunctional sensor signal reconstruction. For three different nonlinearities of a multifunctional sensor model, the reconstruction accuracies of input signals are 0.00136%, 0.03184% and 0.504 80%, respectively. The experimental results demonstrate the higher reliability and accuracy of the proposed method for multifunctional sensor signal reconstruction than the original LS-SVM training algorithm, and verify the feasibility and stability of the proposed method. 相似文献
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提出了一种无线传感器网络中基于蚁群算法的单向链路路由算法,该算法采用单向链路和双向链路相结合的方法,寻找源节点到目的节点的最优路径。仿真结果表明,该算法能够选择参数性能好的路径,最优路径上的总时延远远小于只支持双向链路的传统蚁群算法,而且最优路径的收敛速度明显加快,由此节省了无线传感器网络中的能耗。 相似文献