资源列表
flight_control
- 基于matlab以及simulink，开发出飞行器控制的六自由度方程式，并且建立了飞机的执行机构和PID控制率的全仿真模型(Based on matlab and simulink, the six degree of freedom equation of aircraft control is developed, and the full simulation model of aircraft's actuator and PID control rate is established)
FA萤火虫算法
- 此算法为萤火虫（fa）算法，为群智能化算法，在目标空间寻找最优解(This algorithm is firefly (fa) algorithm, which is a swarm intelligence algorithm to find the optimal solution in the target space)
6_dof_control
- 6自由度的动力学方程建模，以及针对实例的matlab与simulink结合的程序开发(6 degree of freedom dynamic equation modeling, and program development combining MATLAB and Simulink for instance.)
exercise_ZSL-master
- An exercise of zero-shot learning, including DAP, IAP, DeSIVE, SCoRe. By Chengzhe XU, Linyang HE, Yixu GAO
二维矩形条带装箱问题的底部左齐择优匹配算法
- 针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待
免疫遗传算法
- 依据该算法选择物流节点，并确定最优的物流一二级节点(The logistics nodes are selected according to the algorithm, and the optimal logistics one or two level nodes are determined.)
用蒙特卡洛法实现对排队等待问题的计算机模拟
- 使用MATLAB实现的蒙特卡洛算法，主要讨论了理发店中的排队问题(Monte Carlo algorithm implemented by MATLAB)
python_work
- 用tensorflow设计以三层的神经网络进行曲线拟合，采用梯度下降法。(Tensorflow is used to design three layers of neural network for curve fitting and gradient descent method.)
粒子群算法实例
- 文章从一个简单的粒子群实例来讲解粒子群算法，并附上相关的代码(This article explains particle swarm optimization from a simple example of particle swarm, and attaches the relevant code.)
BPSKxunhuanpu
- 设定码元速率、载波频率、采样速率、码元个数等，先仿真bpsk信号，然后对其求循环谱。采用频域平滑的方法。(Set the symbol rate, carrier frequency, sampling rate, number of symbols and so on, first simulate the BPSK signal, and then calculate the cyclic spectrum. The frequency domain smoothing method is
jsonlab-1.5
- JSONlab: a toolbox to encode/decode JSON files in MATLAB/Octave
EOF的源程序-MATLAB
- 自然正交函数分解（EOF）matlab 源代码(Matlab Code for EOF,it's good for new learner.)