test_radar2

WiMAX MATLAB Simulator (Simulink model)

kalman filter 一个可以运行的例子。(kalman filter )

本程序为多个不同脉冲程序。用于刺激或脉冲发生器的研究(This program is different pulse program. Or pulse generator for stimulating research)

该算法既保留了遗传算法的搜索特性，又利用了免疫算法的多机制求解多目标函数最优解的自适应特性，在很大程度上避免了“早熟”，收敛于局部极值。 生物体的免疫系统是一个高度进化、复杂的系统，它能自适应地识别和排除入侵肌体的抗原性异物，保护机体免受损害及维持内坏境稳定，并具有学习、记忆和自适应调节的能力。当抗原入侵时，免疫系统通过自体耐受对‘自己’和‘非己’进行识别，并产生最恰当的抗体排除抗原，通过抗体与抗体之间、抗原与抗体之间的相互刺激和抑制关系，降低抗原对免疫细胞的刺激，抑制抗体的过度分化、增殖，保证免疫平衡并维持抗体的多样性。同时在免疫过程中将产生抗体的部分细胞作为记忆细胞保存下来，对于今后侵入的同类抗原，相应的记忆细胞受到激发而产生大量的抗体。为提高生物体的免疫机能，医学上往往根据抗原性异物提取疫苗给生物体接种，接种过的生物体由于免疫细胞预先获得了抗原染色体的特征信息，因而在类似抗原入侵时，能迅速产生亲和度很高的抗体，有效抵御入侵。(The search algorithm only retains the characteristics of genetic algorithms, and use multiple mechanisms of immune algorithm for solving multi-objective characteristics of adaptive optimal solutions, in large part to avoid the " premature" , converge to local minima. Organism' s immune system is a highly evolved, complex system which adaptively identify and remove foreign matter intrusion antigenic body, protecting the body injury and maintain internal stability bad environment, and has learning, memory and adaptive Ability. When the antigen invasion of immune system tolerance to autologous ' own' and ' non-self' to identify and produce the most appropriate antigen antibody excluded by between antibody and antibody, antigen and antibody mutual stimulation and inhibition of the relationship between reduce the antigen to stimulate immune cells, antibodies inhibit excessive differentiation, proliferation, immune balance and ensure the maintenance of antibody dive)

可以随机的将N个数分配到N个位置上，特别是在一些随机分配的问题上有用(N number will be randomly assigned to the N positions, particularly in a number of issues were randomly assigned to be useful)

说明：  dijkstra算法对于最短路问题的求解(Dijkstra shortest path algorithm for solving the problem)

遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(GA (Genetic Algorithm) is a simulation of Darwinian theory of evolution by natural selection and genetic mechanism of biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search method, which originally developed by the University of Michigan J.Holland Professor in 1975 first proposed and published an influential monograph " Adaptation in Natural and Artificial Systems" , GA This name was gradually known, J.Holland raised by Professor GA is usually simple genetic algorithm (SGA ).)

Antennas algorithm describing the radiation pattern of different antennas models

自己编的模糊PID控制 适合大家看看学习(Fuzzy PID control for their series we look at learning)

地震勘探 谱比法Q值估计（谱比法）谱比法Q值估计是地震勘探的常用方法(Seismic spectral ratio Q value estimation (spectral ratio))