资源列表
sa
- 利用模拟退火法解决污染源识别，主要解决一维水质模型的溯源问题。(identification of pollutant source)
matlab_neural etwork
- 感应器神经网络、线性网络、BP神经网络、径向基函数网络(Sensor neural network, linear network, BP neural network, radial basis function network)
bp
- 双隐层反向传播神经网络，预测,分析均方根误差误差,数据包传送源码程序。(It is a double hidden layer back-propagation neural network, future line prediction, analysis error, data packet transmission source program.)
PSO程序
- ?本程序在matlab环境下，对粒子群编程，完成对两个变量函数的寻优(In this program, in the MATLAB environment, the particle swarm optimization is used to optimize the two variable functions.)
GA
- 基于Matlab编写遗传算法/GA，对PID参数优化控制，提高性能(The genetic algorithm /GA is written based on Matlab to optimize the PID parameters and improve the performance)
bp神经网络
- 两个bp神经网络的预测程序（含有详细注释）。(Prediction program for two BP neural networks (detailed notes))
lrCostFunction
- 输入权值、学习率、输入和输出，就可以计算得到损失值和梯度值(Input weight, learning rate, input and output can be calculated for loss value and gradient value)
RBF-k均值聚类
- RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂，比较简单的有K均值聚类，复杂的有遗传聚类，蚁群聚类等，这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided
knn
- 首先对minist数据集进行pca降维，然后对降维后的数据进行KNN分类(First, the Minist data set is reduced by PCA, and then the data of the reduced dimension is classified by KNN)
遗传算法的改进及其在优化问题中的应用研究_李明
- 从网上借鉴的对遗传算法的深入改进及研究与实现(Genetic algorithm is the fundamental operational process)
renkouyuce_test002
- 用NAR神经网络预测未来几年的人口数量变化趋势(Forecasting the changing tendency of population in several years by NAR Neural Network)
sign
- 数字信号处理matlab代码,用滤波器设计及相关的分析(Digital signal processing matlab code, filter design and related analysis)