搜索资源列表
Anovelparallelquantumgeneticalgorithmforstochasti
- A novel parallel quantum genetic algorithm for stochastic job shop scheduling
performanceimprovementwithpredictivechannelselecti
- 基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化,新到的切换次数减少到55 ,并且延迟时间也相应减少,而吞吐量却在提高。-Prediction of future availability times
TEM
- 晚期瞬变电磁信号是大参数、 多频率、 且各频率分量未知的电磁信号, 特别在晚期还是强噪声背景下的微弱信号. 随机共振系统可以在极限信噪比的情况下提取微弱信号, 但仅适用于小参数、 单一频率或频率已知的高频信号的情况. 为此, 本文提出一种基于尺度变换的随机共振算法用于检测晚期瞬变电磁信号, 该方法充分利用了随机共振检测弱信号的优势, 通过引入尺度变换, 消除了随机共振系统对待测信号频率的限制, 在绝热近似理论下,实现了从强噪声中提取出微弱晚期瞬变电磁目标信号.-Transient Electro
Segmentation-of-Stochastic-Images
- 利用水平集方法进行随机图像的分割,是水平集方法的新的应用-The level set method for a random image segmentation is a new application of the level set method
04470122.rar
- This paper proposes a novel and computationally efficient global I< optimization method based on swarm ntelligence for locating ti nodes in a WSN environment. The mean squared range error of a all neighbouring anchor nodes is taken as the obj
Stochastic-Frontier
- 随机前沿生产函数DEA方法的特点是将有效的生产单位连接起来,用分段超平面的组合也就是生产前沿面来紧紧包络全部观测点,是一种确定性前沿方法,没有考虑随机因素对生产率和效率的影响。随机前沿生产函数则解决了这个问题。-Stochastic frontier DEA method is characterized by effective production units, with a sub-hyperplane combination of production frontier that is
Adaptive-Filtering-Primer-with-MATLAB
- Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic process
Monte-Carlo
- 蒙特卡洛(Monte Carlo)方法,或称计算机随机模拟方法,是一种基于“随机数”的计算方法。-Monte Carlo (Monte Carlo) method, or the computer stochastic simulation method, is based on the calculation method of "random".
yichuansuanfa
- 遗传算法(Genetic Algorithm,GA)是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象,进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息,它从某一随机生成的初始群体出发,经过选择、交叉和变异等遗传操作后对个体进行适应度评价,保留适应度较强的个体遗传到子代种群中,经过多次的迭代计算求得最优个体,即问题的最优解。本程序采用遗传算法可求解微网优化运行。-Genetic Algorithm is an adaptive global by natu
Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of w
- Distributed Generators (DGs) in a microgrid may operate in three different reactive power control strategies, including PV, PQ and voltage droop schemes. This paper proposes a new stochastic programming approach for reactive power scheduling of a mic
5
- This paper presents a method for optimum tuning of Fractional PID controllers using PSO algorithm which have fractional or integer order transfer functions. Particle swarm optimization (PSO) is a robust stochastic optimization technique based on the
Final-report-V2
- 这篇论文基于Kernel和Gaussian Mixture Model提出了一种新的误码率估计方法,使用Stochastic Expectation-Maximization算法实现误码率实时盲估计-This report presents a new Bit Error Rate estimation method based on Kernel and Gaussian Mixture Model, the method utilizes Stochastic Expectation-Max
GENERATION-OF-INCOHERENT-GROUND-MOTIONS-FOR-SSI-a
- This paper aims to present a new method for generating incoherent seismic ground motions on the basis of the stochastic deconvolution technique and the spectral representation method. The generated free field motion satisfies the imposed statisti
breakpoint
- 在这个文档里,利用交互熵进行变点检测,该源码是利用R语言开发-Implements the cross-entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of breakpoints in biological sequences of continuous a
paper1
- 采用遗传算法的自适应随机共振系统弱信号检测方法研究-Adaptive stochastic resonance system weak signal detection method using genetic algorithms
paper3
- 基于随机共振原理的大频率微弱信号检测方法研究-Research large frequency weak signal detection method based on the principle of stochastic resonance
ga
- The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individ
qqfrq
- 多机电力系统仿真及其潮流计算,包括随机梯度算法,相对梯度算法,信号处理中的旋转不变子空间法。- Multi-machine power system simulation and flow calculation, Including stochastic gradient algorithm, the relative gradient algorithm, Signal Processing ESPRIT method.
ARMA相关模型及其应用
- 时间序列分析是数理统计中的一个重要分支,用随机过程理论和数理统 计方法研究随机数据序列的规律。时间序列分析提供了一套具有科学依据的 动态数据处理方法,该方法的主要手段是对各种类型的数据采用相应的数学 模型去近似描述。通过对模型的分析研究,便可更本质地了解数据的内在结 构和复杂特性,从而达到预测其发展趋势并进行必要的控制的目的。(Time series analysis is an important offset of statistics, which studys