资源列表
xm_SimulateSamples_fromBNT
- 根据贝叶斯网络结构bnt，随机产生nsamples条样本集，样本集的数据缺失率为miss_perc-BNT based on bayesian network structure, random generation nsamples sample set, data loss rate is miss_perc sample set
1-s2.0-S0925231213009909-main
- 一种改进型的新型极限学习机meta-elm,在训练效率上有很大提升-meta extrem learning machine
bpshigaijin
- 用matlab编程实现BP算法的改进，通过改进误差函数实现，文件包含M文件-Matlab programming with improved BP algorithm, the error function by improving the implementation of the file containing the file M
BP
- 用C语言编写的BP神经网络算法，能够实现6输入3输出的神经网络-BP neural network algorithm written in C, it is possible to achieve 3 6 input output neural network
neural-network
- 深度学习python实现，并附有MNIST上的测试程序，准确率98 以上-Deep learning learns low and high-level features large amounts of unlabeled data, improving classification on different, labeled, datasets. Deep learning can achieve an accuracy of 98 on the MNIST dataset.
shipmotion
- 只讨论前进运动、横漂运动、首摇运动和横摇运动,这样就把一个六自由度的运动问题简化成一个四自由度的运动问题。-Only discuss the forward movement, horizontal movement drift, yaw motion and roll motion, so put a six degrees of freedom motion problem reduced to four degrees of freedom of movement a problem.
RobotPathPlanning
- 实现机器人路径规划功能，提供具体算法原理及核心算法的源码-Robot path planning function, providing specific algorithm principle and core algorithm source code
2012011539_homework2
- 模式识别中基于监督的分类方法。贝叶斯、fisher线性判别-Supervised classification method based on pattern recognition. Bayes, fisher linear discriminant
2012011539_homework3
- 模式识别：神经网络算法使用，PCA和KL变换-Pattern recognition: neural network algorithm, PCA and KL transform
Fuzzy-Programming
- 用模糊控制解决数学模型，给出了模型的数学描述和C语言代码，很不错-It s good for thoes people wants to study fuzzy control
XiShuZhen
- 对固定阵元数目的稀疏阵，运用智能算法进行优化稀疏得到良好的方向图-Arrays of fixed number of sparse matrix, using intelligent algorithm to optimize the direction of the sparse get good figure
126151910013
- 基于神经网络的BP 农作物虫情预测算法，希望对神经网络初学者有用-BP crop pests prediction algorithms based on neural networks, neural networks hope useful for beginners