资源列表
GAPSO
- 这个算法是遗传算法和粒子群优化算法相互结合的matlab程序，优化效率提高很多，不会陷入局部最优-This algorithm is a genetic algorithm and particle swarm optimization algorithm combined with each other matlab program, optimizing the efficiency a lot and will not fall into local optimum
MethodofFaultDiagnosisforRollingBearingBasedonBPNe
- 将BP神经网络应用于滚动轴承故障诊断，实现滚动轴承的智能化故障诊断和状态监测，软件平台为MATLAB。-BP neural network to fault diagnosis of rolling bearing, rolling bearing to achieve intelligent fault diagnosis and condition monitoring software platform for MATLAB.
完整的多机器人路径规划程序
- 一个完整的多机器人路径规划程序，几代研究生都在用-A complete multi-robot path planning process, several generations of graduate students are using
matlabpathplanning1
- 粒子群最优算法栅格法处理移动机器人最短路径-Grid Particle Swarm Optimization Algorithm for Mobile Robot shortest path Treatment
GA
- 遗传算法优化小波神经网络的matlab实现，简单易懂。-failed to translate
fhn
- fhn神经元模型的相图及临界线（运行fhn_separatrix.m就可以了）-draw the phase diagram and separatrix of FHN neuron model (just run the fhn_separatrix.m)
mathematical-model-15
- matlab数学建模中的15个模型的算法讲解与举例，包括灰色预测、灰色关联分析、主成分分析法、模糊聚类分析、随机模拟、多元回归模型、正交试验设计、图论、目标规划模型、马尔可夫预测方法、时间序列分析、模糊综合评价模型、层次分析模型、模糊数学方法、模拟退火算法。-15 model matlab mathematical modeling method to explain with examples, including the gray prediction, gray correlation a
order-track---prg
- 本程序可以实现变转速工况下对测取的信号实现重采样阶次跟踪分析。-The program can achieve variable speed operating conditions to achieve the measured signal taken resampling order tracking analysis.
pso_pid
- 基于粒子群算法分数阶PID参数整定，运行环境是matlab2007-Based on particle swarm optimization (pso) algorithm of fractional order PID parameter setting
CNN
- 深度学习中卷积神经网络，实现手写数字的分类，其中包含网络的初始化，训练，测试三个模块。包含mnist_uint8.mat文件，CNN入门学习程序。-Convolution depth study neural networks, digital handwritten classification, which includes the network initialization, training, testing three modules. Files contain mnist_uin
LGMS_FOA
- 一种改进的果蝇算法，文件中包含matlab实现代码和算法说明-an improved FOA, in the file, the demo develped by MATLAB and the produre of lgms-foa is obtained
cs-bp
- 用布谷鸟优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。-Cuckoo optimization method of BP neural network weights and threshold optimization, improve precision of the neural network operation.