model_induction

这是matlabdaima,用来计算RBF输出值很有效(This is matlabdaima, used to calculate the RBF output is valid)

压缩传感置信传播算法的matlab仿真全部源程序。信号模式为二值高斯信号，编码测量采用类似LDPC矩阵。(Belief propagation algorithm for compressed sensing all the source code matlab simulation. Gaussian signal model for binary signals, LDPC coding was measured using a similar matrix.)

this is a book about CT.

EKF算法在MATLAB中的仿真及其分析比较(EKF algorithm in MATLAB simulation and analysis)

高斯噪声关于频率的最大似然估计,对初学者有很大帮助(Gaussian noise on the frequency of maximum likelihood estimation)

lorenz序列产生程序，自己编写的，可产生时域波形图和混沌吸引子相图。(Lorenz chaotic sequence generation process, the preparation of their own, can produce the time-domain waveform and chaotic attractor.)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)

关于wsn的leach算法matlab仿真，希望对你们有用！(About wsn network leach algorithm matlab simulation, I hope useful to you!)

利用遗传算法优化PID参数，自动搜索最有 的PID参数(Using genetic algorithm to optimize PID parameters and automatically search the most PID parameters)

Cooperative relaying with Decode and Forward scheme code rate = 1/4 C.C for single-relay case