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gender_detection

于 2020-05-18 发布

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下载积分: 1 下载次数: 1

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说明：基于语音信号的多种特征对说话人的性别进行识别。(It uses many kinds of features to recognize the speaker.)

文件列表：

gender_detection, 0 , 2020-04-14
gender_detection\1.jpg, 363061 , 2020-04-04
gender_detection\2.jpg, 389814 , 2020-04-04
gender_detection\3.jpg, 164923 , 2020-04-04
gender_detection\GenderRecogGUI.fig, 2967237 , 2020-03-16
gender_detection\GenderRecogGUI.m, 45101 , 2020-03-22
gender_detection\recorder, 0 , 2020-04-14
gender_detection\recorder\RecordedSound_1.wav, 22572 , 2020-03-26
gender_detection\untitled.m, 2175 , 2020-04-04

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python机器学习预测分析核心算法
机器学习预测分析python程序，很有用的啊，希望对大家有帮助(Machine learning prediction analysis Python procedures, very useful ah!)

2017-09-04 10:50:42下载

积分：1
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说明：用N来表示训练用例（样本）的个数，M表示特征数目。输入特征数目m，用于确定决策树上一个节点的决策结果；其中m应远小于M。从N个训练用例（样本）中以有放回抽样的方式，取样N次，形成一个训练集（即bootstrap取样），并用未抽到的用例（样本）作预测，评估其误差。对于每一个节点，随机选择m个特征，决策树上每个节点的决定都是基于这些特征确定的。根据这m个特征，计算其最佳的分裂方式。每棵树都会完整成长而不会剪枝，这有可能在建完一棵正常树状分类器后会被采用）。(N is used to represent the number of training cases (samples), and M is used to represent the number of features. The number of input features m is used to determine the decision result of a node in the decision tree, where m should be far less than m. From N training cases (samples), n times are sampled in the way of put back sampling to form a training set (i.e. bootstrap sampling), and the unselected cases (samples) are used to predict and evaluate the error. For each node, m features are randomly selected, and the decision of each node in the decision tree is determined based on these features. According to these m characteristics, the best splitting mode is calculated. Each tree will grow completely without pruning, which may be adopted after building a normal tree classifier).)

2021-01-28 13:47:33下载

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java写的简单的魔方，可用鼠标拖动，代码简单易用(a java simple grogram )

2011-05-11 17:51:59下载

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非线性拟合各类方法总结及实例，非常详细，适合初学者学习。(nonlinear fittingNonlinear fitting method summary and examples, very detailed, suitable for beginners to learn.)

2020-06-22 03:00:01下载

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2020-05-25 10:25:13下载

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说明：使用遗传算法解决了双旅行商，环路最短路径问题。其中在求解资源最优时，还使用了退火算法对局部最优值求解(The genetic algorithm is used to solve the shortest path problem of double traveling salesman. The annealing algorithm is also used to solve the local optimal value)

2020-10-04 22:28:00下载

积分：1
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This is a book about the bluetooth module.

2020-06-25 08:20:01下载

积分：1
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2017-07-26 16:51:14下载

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2020-07-17 23:39:55下载

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2022-02-28 13:17:12下载

积分：1

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gender_detection

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