资源列表
wikipedia_info
- wikipedia跨模态（文本图像）数据集，可用于图像标注、跨媒体检索等领域。共十类，已标注。文本特征是10维LDA特征，图像特征是128维SIFT特征(Wikipedia datasets for cross-media retrieval, image annotation etc.)
基于粒子群优化的多智能体协作进化方法
- 粒子群优化在多智能体系统上的应用和仿真实现(the implementation of PSO in multi-agent systems)
deecamp
- 利用LSTM进行股票预测，采用python编程(forecast the stock price with LSTM)
超限学习机理论讲解及编程实现
- 该方法随机给定神经元权值中的输入权值和阈值，然后通过正则化原则计算输出权值，神经网络依然能逼近任意连续系统。(The method gives the input weights and thresholds of neuron weights randomly, and then calculates the output weights by regularization principle. The neural network can still approximate any cont
多目标进化算法
- 多目标遗传进化算法，处理目标优化及处理优化问题，优化效果较好
tensorflow-mnist
- 改进了官方的MNIST进阶demo，准确率提升。(The official MINIST advanced demo is improved and the accuracy is improved.)
CNN
- 手写数字识别的数据集 matlab实现cnn(Data Set for Handwritten Number Recognition Realization of CNN in matlab)
code1323
- puma560机器人的运动学正解程序源码，在matlab2016b测试成功，希望对有需要的人有帮助(Puma 560 robot forward kinematics program source code, in MATLAB 2016b test success, hope to help people in need)
music_transcription_MAPS-master
- PyTorch机器学习音乐分类，导入wav和txt进行机器学习，运行项目的命令行和需要的音乐文件都在在压缩包里，项目可以直接运行。(PyTorch machine learns music classification, imports wav and TXT for machine learning, runs the command line of the project and the required music files in the compressed package, and
bp_mnist
- matlab写的bp神经网络对mnist数据集进行学习分类(Learning and classification of MNIST data sets based on BP neural network written by MATLAB)
手势识别技术数据
- 基于表面肌电信号的手势识别数据，欢迎各位下载使用，欢迎交流。
bpandcmac
- 基于小脑模型神经网络和BP网络对同一非线性系统进行逼近(Approximation of the same nonlinear system based on cerebellar model neural network and BP network)