资源列表
ganziqifenlei
- 采用神经网络感知器算法对给定的两类样本进行分类,效果显著!-Perceptron neural network algorithm for a given two types of samples for classification, a significant!
KNN
- k-nearest neighborhood is a one method that select k number of units in such as cluster that this k units are nearest from the cluster center-k-nearest neighborhood is a one method that select k number of units in such as cluster that this k units ar
bpapproachrev
- 使用BP网络对反函数进行逼近。使用三层网络，隐单元数选择为20个，故总体结构为1-20-1结构。-BP network used to approximate the inverse function. Using the three networks, the number of hidden units is selected as 20, so the overall structure of 1-20-1 structure.
burgaic
- 基于AR模型参数的BP神经网络模式分类，包括特征提取和神经网络训练-BP neural network model is based on the classification of AR model parameters, including feature extraction and neural network training
BP_ANN
- 计算机神经网络（BP）的演示例程，有详细的资料与演示步骤，以供初学神经网络算法的人使用。-Computer network (BP) demonstration routines, with detailed information and presentation steps for beginners to use neural network algorithm.
bp1
- 神经网络已经得到广泛应用，这里是一个模糊神经网络的matlab程序-Neural network has been widely used, there is a fuzzy neural network matlab program
knn
- K近邻（KNN）：分类算法KNN是non-parametric分类器（不做分布形式的假设，直接从数据估计概率密度），是memory-based learning KNN不适用于高维数据（curse of dimension）-K-Nearest Neighbor (KNN): Classification Algorithm. KNN is a non-parametric classifiers (not to assume that the distribution of forms, fr
hog
- 亲测可用，注释完全，简练易懂，用于提取HOG特征-Close test available, comments completely, concise and easy to understand, used to extract characteristics of HOG
xitong7tongbu
- 滑膜控制，实现滑模同结构控制以及分数阶与整数解的同步-Synovial control, synchronization with structure sliding mode control and Fractional and Integer Solutions
利用双层感知器神经网络处理线性不可分的分类问题
- 利用双层感知器神经网络处理线性不可分的分类问题-use double perceptron neural networks to handle non-linear classification
bpshenwang
- 该程序是在BP神经网络中实现函数的拟合，拟合效果比较好-The program is in the BP neural network to achieve the fitting function,fitting the effect of better.
robot_2code
- 机器人机械手臂控制程序仿真，需要的可以-roboter code