shiyanerdaima

说明：  本程序是基于马尔可夫链蒙特卡尔理论的贝叶斯工具。版本为MCMC Methods for MLP and GP and Stuff (for Matlab) V2.1 (A collection of matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods. The purpose of this toolbox was to port some of the features in fbm to matlab for easier development for matlab users. )

MATLAB编程书籍，帮助加深对MATLAB的学习和程序应用(MATLAB programming books to help deepen the learning and procedures for application of MATLAB)

对m序列的原理、结构、性质进行了分析,在Matlab中采用编程和Simulink动态仿真功能2 种方式实现了m序列.仿真实验表明,这2种方法简单,易于实现,可移植性较强,具有可行性和 设计的合理性. (The principle of the m sequence, structure and properties were analyzed in Matlab, Simulink using dynamic programming and simulation capabilities are 2 ways to achieve the m sequence. Simulation results show that these 2 simple and easy to implement, portability strong the feasibility and rationality of the design.)

using RBF_NN intelligent architecture for the plant dynamic.

模拟退火算法可求组合优化问题及连续优化问题的近似最优解。这里提供一个连续优化问题的例。(Simulated annealing algorithm for solving continuous optimization problems)

广义预测控制算法MATLAB仿真程序，比较不同输入滤波系数时控制效果 (Generalized predictive control algorithm MATLAB simulation program, when comparing the effects of different control input filter coefficients)

时域自适应滤波中基于后验概率的格型RLS算法(奀郖赻巠crown thinning recommended price笢Guang Ya Carex quilt is made up of trace倰cavity RLS呾Yang)

对它们进行性能测试和比较，并在非线性环境下，讨论这些方法的特点，仿真实验结果表明，在非线性非高斯环境下，UPF 方 法的性能是最优的。 (bayesian filtering methods, such as EKF, UKF, PF and UPF, etc., based on these methods structure The building of the framework, of their performance test and comparison, and the nonlinear environment, discussed the characteristics of these methods, the simulation results show that the nonlinear non-gaussian environment, UPF party The performance of the method is the best. )

切平面法（matlab）程序 切平面法（matlab）程序(PF algorithm in matlab)

AGV（自动导引车）路径识别系统的MATLAB实现，包括对图像进行灰度处理，阈值分割，二值化，开闭运算，边缘检测(AGV (automatic guided vehicles) MATLAB path to achieve recognition system, including gray-scale image processing, segmentation, thresholding, opening and closing operation, edge detection)