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patternclassification
说明： 使用pegasos算法进行minsit数据集分类(As mentioned above, Pegasos performs stochastic gradient descent on the primal objective Eq. (1) with a carefully chosen stepsize. We describe in this section the core of the Pegasos procedure in detail and provide pseudo-code. We also present a few variants of the basic algorithm and discuss few implementation issues.)
- 2020-12-19 20:19:09下载
- 积分：1
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递归算法画五角星
了解基本编程知识，熟悉编程算法，递归算法画五角星。(Understand basic programming knowledge, familiar with programming algorithm, recursive algorithm drawing pentagon.)
- 2020-06-23 20:20:01下载
- 积分：1
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upload
数字信号处理中使用AR模型编写的简单的股票价格预测代码(Digital signal processing is used to prepare a simple AR model to predict stock price Code)
- 2015-04-30 17:59:49下载
- 积分：1
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VRPTW-ga-master
python源码，利用遗传算法解决VRPTW问题，包含所有过程步骤(solve the VRPTW by GA(Python cord))
- 2020-11-18 20:19:38下载
- 积分：1
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bp
说明： 使用鸢尾花数据集，预测鸢尾花种类。并随机选取100个样本作为训练数据，剩下50个作为测试数据。设置输入层四个神经元，接收输入的四个向量数据。设置一层隐含层，使用sigmoi激活函数，此问题为三分类问题，输出层激活函数使用sigmoi函数，神经元个数设置为3个，本类别输出1，其余类别输出0。(Iris, using data sets to predict Iris species. 100 samples were randomly selected as training data, and the remaining 50 samples were used as test data. Four neurons in the input layer are set to receive the four vector data. Set a hidden layer and use the sigmoi activation function. This problem is a three classification problem. The output layer activation function uses the sigmoi function. The number of neurons is set to 3. This category outputs 1 and the other categories output 0.)
- 2020-11-17 17:03:43下载
- 积分：1
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PYTHON中文参考
【实例简介】
- 2021-08-10 00:31:00下载
- 积分：1
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usrp-stop-and-wait
能够在usrp平台上实现简单的停止等待协议，需要每台电脑打开两个终端(Simple agreement to stop waiting, you need to be able to achieve in the the usrp platform on each computer to open two terminal)
- 2021-03-15 19:39:22下载
- 积分：1
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nndl-codes-master
说明： 神经网络与深度学习案列代码，神经网络与深度学习教程例题代码(Neural Network and Deep Learning Case Code, Neural Network and Deep Learning Course Case Code)
- 2019-04-17 11:37:01下载
- 积分：1
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机器学习之AdaBoost原理与代码实现
Adaboost体现的是“三个臭皮匠，胜过一个诸葛亮”，它是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，
然后把这些弱分类器集合起来，构成一个更强的最终分类器（强分类器）(Adaboost embodies "three smelly cobblers are better than one Zhuge Liang". It is an iterative algorithm. Its core idea is to train different classifiers (weak classifiers) for the same training set. Then these weak classifiers are combined to form a stronger final classifier (strong classifier).)
- 2020-06-17 02:20:02下载
- 积分：1
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自定义的mininet-wifi的网络拓扑
说明： 自定义的mininet-wifi的网络拓扑(Custom mininet-wifi network topology)
- 2020-05-28 10:25:49下载
- 积分：1
