资源列表
UntitledHopfield
- 联想过程：输入待测酒样数值，利用得到的网络进行联想，最后确定待测酒样属于哪种类别模式，就可以得到综合评价的结果。-Lenovo procedure: Enter the measured value wine samples using the resulting network association to finalize the test wine samples belong to which category mode, you can get the results of a com
Desktop
- 随着人们的生活不断提高，旅游已成为提高人们生活质量的重要活动，在旅游过程中，广大游客都希望找到最佳旅游线路。而旅游线路遇到的最直接的问题是景点的具体位置。比如九寨沟景区，里面的景点多达四十一个，怎样才能准确找到自己要去景点的位置，已经成为了亟待解决的关键问题。为此，九寨沟景区决定铺设空中缆车索道，让广大游客可以在最短的时间内游览更多的景点。-With the continuous improvement of people s life, tourism has become important
Desktop
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier classification principle is a priori probability of an object by using the Bayesian formula to calculate the probability of subsequent experience, that is,
machine-learning-ex3
- 斯坦福大学机器学习第3次作业 可供参考 100分-Stanford Machine Learning 3rd job for reference 100
machine-learning-ex4
- 斯坦福大学机器学习第4次作业 可供参考 100分-Stanford Machine Learning 4th job for reference 100
machine-learning-ex5
- 斯坦福大学机器学习第5次作业 可供参考 100分-Stanford Machine Learning for the fifth job reference 100
PRML
- PRML是了解机器学习的一本经典的书籍。-PRML machine learning is to understand a classic book.
RESGAF1
- the particular code helps in providing a mtrix that would contain minimum of two numbers for each number at first index. this code would help an easy mapping of weights in neural network for beginners. DEFINES GA NETWORK WITH rsf ALGO
SVMML
- 提出的压缩跟踪算法能够实时运行，并执行挑战序列，在效率方面,准确性和鲁棒性方面能与最先进的算法抗衡-The proposed compressive tracking algorithm runs in real-time and performs favorably against state-of-the-art algorithms on challenging sequences in terms of efficiency, accuracy and robustness.
recognition
- 神经网络的手写 数字识别matlab。包含数据库，可直接运行。-Handwritten numeral recognition matlab neural network.Contains a , can be directly run
Reinforcement-Learning
- 斯坦福大学NG教授的用强化学习控制无人机的文章-Stanford university professor NG with reinforcement learning control of unmanned aerial vehicle (uav)
v1.9
- 程序用vc6.0编写，基于离散余弦变换DCT和bp神经网络的人脸识别。采用ORL人脸库，对图像进行DCT低通滤波，再用BPNN进行训练或识别，样本空间内识别效果好。设计流程参考了本站 yaxuan 的v3.3(http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html)(本程序不包含原作的粒子群修正权值及网络结构调整等功能，但调整了训练样本的排列顺序) 感谢原作者，若有侵权我会删除此上传^ ^-Vc6.0 procedu