资源列表
knn
- K近邻分类器，用于模式识别等领域，该程序短小精悍，适合与ANN和SVM进行比较研究，本人多篇论文用到，效果较好。-K-nearest neighbor classifier is often used in pattern recognition and other fields. It is suitful for a comparative study with ANN and SVM. I have published some papers used the code. The effe
datainit
- 神经网络训练样本归一化程序，并能均匀的分离训练样本和检验样本-Neural network training samples normalized procedures, and uniform separation of training samples and testing samples
percep01
- 利用神经网络中感知器进行简单的线性分类。-With simple linear perceptron neural network classification.
Hopfield-PID
- 基于hopfield网络的PID模型参考自适应控制,对象为典型的伺服系统速度环框图-Hopfield network-based PID model reference adaptive control, the object of a typical servo system speed loop block diagram
hermite
- it s a hermit polynumial method for solve equation.the equation is a satimate of exact solution and we solve the equation with this method
CompressionFactorPSO
- 带压缩因子的粒子群算法，已经封装成函数，可以直接调用来实现对标准粒子群算法的改进-With compression factor of particle swarm optimization (pso) algorithm, is encapsulated into function, can be called directly to implement improvements on the standard particle swarm algorithm
BP_identification
- BP神经网络用于系统辨识的例子，给出了程序和结果-BP network used for system identification
single-model
- 谁神经网络中最基本的算法，单样本训练，用于提取样本特征值-Who is the most basic of neural network algorithm, a single sample of training samples used to extract the characteristic values
Q-learning
- 介绍了Q学习的基本算法，这里面提供了一个小程序用于解决gridword的Q值计算问题-Q-learning algorithm which provides a small program for to solve gridword Q value calculated
example13
- 利用神经网络对实际问题进行优化，快速求解最优策略。-Practical problems using neural network optimization, fast solution of optimal strategies.
BP_boosting
- 函数逼近的MATLAB实现，调用BP网络-Function approximation of MATLAB, called BP network
yichuangsaunfaandyuyun_plot
- 这个是遗传算法和鱼群算法的结合，其中还出现了图像，有点用处-This is a combination of genetic algorithms and fish algorithm, which also appeared in the image, a bit useless