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.
Chaotic-parameter-modulation
- 基于混沌参数调制技术，研究混沌反同步在密保通信的应用-请键入文字或网站地址，或者上传文档。 取消 Jīyú hùndùn cānshù tiáozhì jìshù, yánjiū hùndùn fǎn tóngbù zài mì bǎo tōngxìn de yìngyòng 您是不是要找： 婚Chaotic parameter modulation technology, research and application of anti-synchronization of cha
BPBER
- 基于BP神经网络的盲均衡算法研究 误码率分析部分-bp neural networks, blind equalization
rent
- 长江游艇俱乐部在长江上设置了n个游艇出租站1，2，…，n。游客可在这些游艇出租站租用游艇，并在下游的任何一个游艇出租站归还游艇。游艇出租站i到游艇出租站j之间的租金为r(I,j),1 i<j n。试设计一个算法，计算出从游艇出租站1到游艇出租站n所需的最少租金。该算法考虑了几乎所有可能的错误输入以及应对方式，对已有的游艇算法进行了多方面的改进。-Yangtze River Yacht Club, set up in the Yangtze River n yac
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