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Stochastic-Programming-2
- 随机规划解决随机优化问题，主要用到遗传算法，神经元网络。-stochastic programming problem solving stochastic optimization, use genetic algorithms, neural network.
Backprop with stochastic
- 基于stochastic BP的feed-forward 神经网络分类
bayesian updating of hysteretic structural models using stochastic simulation
- bayesian updating of hysteretic structural models using stochastic simulation
遗传算法实现旅行商问题
- 本算法中采取了种群规模为100，同时采用轮盘赌来获取种群。开始使用随机的方法得到初始的种群-the algorithm adopted a population size of 100, using roulette to access populations. Using the stochastic method initial Stocks
Stochastic-Programming-2
- 随机规划解决随机优化问题，主要用到遗传算法，神经元网络。-stochastic programming problem solving stochastic optimization, use genetic algorithms, neural network.
disp_rand
- 本程序用matlab生成白噪声，并且基于一个离散线性随机系统的模型生成了y(k)和x(k)，绘制出了x(k|k-1)和x(k)的对比曲线，求出了提前一步预报的误差协方差阵的稳定值-the procedures used Matlab generate white noise, and on a discrete linear stochastic systems model generated y (k) and x (k), mapp
RaoBlackwellisedParticleFilteringforDynamicConditi
- The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The softwar
SADeterministicStochastic
- Simulated Annealing for both Stochastic models and Deterministic models-Simulated Annealing for both Stochastic m odels and Deterministic models
ekff
- 用Matlab编写的求解高斯线型随机差分方程的离散扩展卡尔曼滤波程序。-Matlab prepared for the linear Gaussian stochastic differential equation expansion of discrete Kalman filter procedures.
AFirstCoursntochasticModels
- *** ****A First Course in Stochastic Models.rar-*********************************** A First Course in Stocha stic Models.rar
bjnhkz
- 实现边界随机微分方程拟合控制，程序可在MATLAB环境下运行-achieve stochastic differential equations fitting border control procedures in the operating environment MATLAB
itonpose
- 型随机微分方程的线性二次控制,线性二次控制 -stochastic differential equation of the linear quadratic control, linear quadratic control the linear quadratic control
Reliability
- A stochastic-flow network consists of a set of nodes, including source nodes which supply various resources and sink nodes at which resource demands take place, and a collection of arcs whose capacities have multiple o
MultivariateGaussianMixtureModelOptimizationbyCros
- Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.
Stochastic-Programming-1
- 用遗传算法求解随机模型的C++实现，绝对能够运行成功的-Genetic algorithm with stochastic models of the C++ to achieve, definitely be able to run successful
Nested-sparse-grid-stochastic-collocation-method.r
- 嵌套式稀疏网格随机配置法及其在随机门延时建模中的应用Nested sparse grid stochastic collocation method in the stochastic modeling of gate delay-Nested sparse grid stochastic collocation method in the stochastic modeling of gate delay
7.-Minimizing-File-Download-Time-in-Stochastic-Pe
- Final year project on Minimizing File Download Time in Stochastic Peer-to-Peer Networks
stochastic-differential-equations-
- 时间序列分析中随机微分方程方面的实现,在matlab环境下实现的代码-stochastic differential equations
stochastic
- Several matlab Mfiles for the simulation of stochastic processes in finance and engineering, wienner, random walk, brownian motion, two gamble etc. in addition ot solution to forward and backward Chapmann-Kolmogorov equa
Dynamic-Programming-and-stochastic-control
- Dynamic Programming and stochastic control