搜索资源列表
BP
- 基于BP神经网络的 参数自学习控制 （1）确定BP网络的结构，即确定输入层节点数M和隐含层节点数Q，并给出各层加权系数的初值 和 ，选定学习速率 和惯性系数 ，此时k=1； （2）采样得到rin(k)和yout(k)，计算该时刻误差error(k)=rin(k)-yout(k)； （3）计算神经网络NN各层神经元的输入、输出，NN输出层的输出即为PID控制器的三个可调参数 ， ， ； （4）根据(3.34)计算PID控制器的输出u(k)； （5）进行神经网络学习，在线调整加权
ga-bp
- 程序名：ga_bp_predict.cpp 描述： 采用GA优化的BP神经网络程序，用于单因素时间 序列的预测,采用了单步与多步相结合预测 说明： 采用GA(浮点编码)优化NN的初始权值W[j][i],V[k][j]，然后再采用BP算法 优化权值
c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
KNN
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
knn
- Dear all: this is the k-nn algorithm, written in Matlab.
Classification-toolbox
- 通过降维处理，高维数据的分类一般可以转换为2维数据分类。此源码包含一个2维-2类数据分类工具箱。包括：ML，K-NN，SVM，LS，DB-Through the dimension reduction processing, high dimensional data classification commonly can convert to 2 d data classification. This source includes a 2 d-two kinds of data classi
K-NN
- Delphi realization of k-nearest neighbor algorithm.
knn_vb
- In pattern recognition, the k-nearest neighbor algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space. k-NN is a type of instance-based learning, or lazy learning where the function is only approx
k-nn
- k最近邻 分类 机器学习 模式识别 人工智能 小程序-KNN classification machine learning Pattern recognition artificial intelligence Small program
location
- 室内定位算法，最近邻算法，K最近邻算法，加权K最近邻算法，贝叶斯算法-indoor position locatian ,including nn,knn,wknn,bayes.the algrithm compare the different of the above method and get some useful conclusion.
K---NN
- 以著名的wine数据作为实验样本。包括k-NN算法，交叉验证，PCA降维等。-With the famous wine data as experimental samples.K- NN algorithm, cross validation, PCA dimension reduction, etc.
NN1akNN
- 实现机器学习中的最近邻算法——1-NN和k--Realization of machine learning algorithms 1-NN nearest neighbor and k-NN
code_1
- 在机器学习中利用欧氏距离设计一个KNN分类器，实现五折交叉验证，并用PCA进行降维-Develop a k-NN classifier with Euclidean distance and simple voting.Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy)。Use PCA to reduce the dimensionality to 6, then p
KNN
- In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression
K-NN等算法实现作业1
- CS231n课后作业的官方习题答案，运行环境为Python2，有需要的同学可以自取(The official CS231n homework exercise answers, the operating environment for the Python2, students need to pick up)