资源列表
chap6-4s
- 智能控制仿真4 基于神经网络的模糊控制器设计 简单易懂 适合学习-four intelligent control simulation based on neural network fuzzy controller design is simple to understand for learning
PSO
- 这是一个在MATLAB上开发的PSO程序，可以进行函数优化等功能。-This is a development of PSO in MATLAB program, function optimization, and other functions.
8n
- 搜索算法是人工智能研究的重要领域，也是在许多应用领域发挥重要作用的一种工具。本文研究了深度优先搜索算法，并给出了八数码问题的具体应用算法。-Search algorithm is an important area of artificial intelligence research, but also play an important role as a tool in many fields of application. This paper studies the depth-fir
LPP_MatlabCode
- LPP for matlab, Good code for you!-LCDs for Matlab, Good code for you!
PNNpredict19
- 概率神经网络 分类预测 基于PNN变压器故障 诊断-Probabilistic neural network classifier prediction Transformer Fault Diagnosis Based on PNN
input_data
- 机器学习领域中常用的数据集MNIST的下载代码-Commonly used in the field of machine learning dataset MNIST download code
PSO
- 神经网络构建，粒子群算法优化BP神经网络迭代寻优-Neural network building , iterative particle swarm algorithm to optimize the BP neural network optimization
elm
- 极限学习机 一种比支持向量机更快的算法-Extreme Learning Machine for a faster than SVM algorithm. . . . . . . .
code
- 在3*3组成的九宫格棋盘上，摆有8个将牌，每一个将牌都刻有1-8中的某一个数码。棋盘中留有一个空格，允许其周围的某一个将牌向空格移动，这样通过移动将牌就可以不断改变将牌的布局。给定一种初始的将牌布局或结构（称初始状态）和一个目标布局（称目标状态），编程给出一个最优的走法序列-3* 3 in the composition of squared board, will put eight cards, each engraved with the brand are 1-8 in one digi
FLch5eg4
- 采用改进的CMAC神经网络学习函数yp=5*sin(2*p)*1.2*exp(-i/260) -Artificial Neural Networks, ANN
BP
- BP+GA模型预测，自己写的希望能有帮助-BP+GA model prediction