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PSO_BP预测Matlab源码
说明： PSO_BP预测Matlab源码，很详细，适合初学者(PSO_ BP prediction matlab source code, very helpful for beginners)
- 2021-03-21 13:49:17下载
- 积分：1
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DeepLearnToolbox-master
这是用于深度学习的Matlab工具箱
深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。
它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。
目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab toolbox for Deep Learning.
Directories included in the toolbox
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`NN/` - A library for Feedforward Backpropagation Neural Networks
`CNN/` - A library for Convolutional Neural Networks
`DBN/` - A library for Deep Belief Networks
`SAE/` - A library for Stacked Auto-Encoders
`CAE/` - A library for Convolutional Auto-Encoders
`util/` - Utility functions used by the libraries
`data/` - Data used by the examples
`tests/` - unit tests to verify toolbox is working)
- 2021-04-17 16:18:52下载
- 积分：1
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神经网络讲义
说明： 神经网络讲义，可以尽情下载，里面内容颇多，代码详细，适合新手(Neural network lectures, you can download as much as you like, which contains a lot of content, detailed code, suitable for beginners.)
- 2020-06-24 09:00:02下载
- 积分：1
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LeNet
用于书写体数字识别的卷积神经网络，VC++源码，仅供学习参考(Convolutional Neural Networks in Handwritten Digit Recognition Visual C++ implemented.)
- 2012-06-18 09:36:35下载
- 积分：1
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Test20190329_Http_By5_9_7
说明： qt5 http模块简单测试，主要是get post的异步使用(Simple test of Qt5 HTTP module)
- 2020-06-18 05:00:01下载
- 积分：1
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c#使用SOCKET进行文件传输 可大文件传输 断点续传
c#使用SOCKET进行文件传输 可大文件传输 断点续传
- 2015-12-11下载
- 积分：1
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该视频会议源代码,实现功能强大,比传统视频会议算法更优,减少带宽...
该视频会议源代码,实现功能强大,比传统视频会议算法更优,减少带宽-The video-conferencing source code, to achieve powerful, than the traditional video conferencing better algorithm to reduce the bandwidth
- 2022-01-26 07:38:50下载
- 积分：1
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Softswitch testing tools that can decompile the code view, a good framework for
软交换测试工具,可以反编译查看代码,良好的架构-Softswitch testing tools that can decompile the code view, a good framework for
- 2022-05-21 23:33:49下载
- 积分：1
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cnn进行三次池化的代码
说明： matlab的代码，将cnn进行三次池化的代码，可以作为学习卷积神经网络的入门例子(Convolutional Neural Networks, CNN)
- 2019-11-22 16:45:32下载
- 积分：1
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一种基于粒子群K均值聚类算法的电梯交通模式识别方法 PSO
一种基于粒子群K均值聚类算法的电梯交通模式识别方法。该方法通过对此前一周的原始客流数据进行聚类分析，得到相应交通模式的聚类中心坐标[2]。针对实时变化的交通流数据，采集5 mins时段客流数据，根据最近邻原则划分其归属的聚类中心，从而识别出当前的交通模式。(Particle swarm-based K-means clustering algorithm Elevator Traffic Pattern Recognition. This method is through the previous week, data from the original cluster analysis of passenger traffic, the traffic patterns corresponding coordinates of cluster centers [2]. Changes in traffic flow for real-time data acquisition 5 mins time passenger flow data, according to the principle of division of its nearest neighbor cluster centers belonging to identify the current traffic patterns.)
- 2009-12-09 15:39:58下载
- 积分：1
