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    <description>Latest 20 threads of 机器学习</description>
    <copyright>Copyright(C) Qmacd-宽论社区-桥之队</copyright>
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      <title>Qmacd-宽论社区-桥之队</title>
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      <title>AI生成高仿真量化交易数据</title>
      <link>https://qmacd.com/t-jiqixuexi-1713.html</link>
      <description><![CDATA[在量化领域，训练机器学习模型往往会遇到训练数据不足的问题，10年的日线数据其实也只有2000多条，这严重限制了AI量化的研究工作。
针对此问题，我们提出了“一种生成高仿真量化交易数据的赛马场训练架构”，该架构的出发点如下：
原因1：GAN是生成对抗网络，生成“以假 ...]]></description>
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      <author>leo</author>
      <pubDate>Mon, 17 Feb 2025 08:50:19 +0000</pubDate>
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      <title>《基于神经网络技术对标普500指数波动率的预测》</title>
      <link>https://qmacd.com/t-jiqixuexi-681.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>我家的喵很傻</author>
      <pubDate>Sun, 19 Jan 2020 08:54:04 +0000</pubDate>
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      <title>《基于LSTM神经网络的黑色金属期货套利策略模型》</title>
      <link>https://qmacd.com/t-jiqixuexi-680.html</link>
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      <category>机器学习</category>
      <author>_宇锅_</author>
      <pubDate>Sun, 19 Jan 2020 08:52:47 +0000</pubDate>
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      <title>《基于LSTM深度神经网络的股市时间序列预测精度的影响因素研究》</title>
      <link>https://qmacd.com/t-jiqixuexi-679.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>傻傻的袋鼠</author>
      <pubDate>Sun, 19 Jan 2020 08:51:31 +0000</pubDate>
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      <title>《神经网络和深度学习在量化投资中的应用》</title>
      <link>https://qmacd.com/t-jiqixuexi-678.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>vialan</author>
      <pubDate>Sun, 19 Jan 2020 08:50:07 +0000</pubDate>
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      <title>《面向股票价格预测的神经网络建模与分析》</title>
      <link>https://qmacd.com/t-jiqixuexi-677.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>一路向北的巨蟹</author>
      <pubDate>Sun, 19 Jan 2020 08:48:47 +0000</pubDate>
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      <title>《基于优化的神经网络期货交易指标的研究》</title>
      <link>https://qmacd.com/t-jiqixuexi-676.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>绚烂黄昏丶比尔</author>
      <pubDate>Sun, 19 Jan 2020 08:46:57 +0000</pubDate>
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      <title>《基于小波分析的神经网络股票预测研究》</title>
      <link>https://qmacd.com/t-jiqixuexi-675.html</link>
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      <category>机器学习</category>
      <author>周某某4</author>
      <pubDate>Sun, 19 Jan 2020 08:45:40 +0000</pubDate>
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      <title>《基于神经网络预测的价格有效波动区间日内交易策略》</title>
      <link>https://qmacd.com/t-jiqixuexi-674.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>小小的坏蛋蛋</author>
      <pubDate>Sun, 19 Jan 2020 08:43:56 +0000</pubDate>
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    <item>
      <title>《基于神经网络技术的股票买入点预测系统的》</title>
      <link>https://qmacd.com/t-jiqixuexi-673.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>三米烛光</author>
      <pubDate>Sun, 19 Jan 2020 08:42:33 +0000</pubDate>
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    <item>
      <title>《基于神经网络的在线学习策略》</title>
      <link>https://qmacd.com/t-jiqixuexi-672.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>123465245</author>
      <pubDate>Sun, 19 Jan 2020 08:41:30 +0000</pubDate>
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      <title>《基于卷积神经网络的股票市场择时模型——以上证综指为例》</title>
      <link>https://qmacd.com/t-jiqixuexi-671.html</link>
      <description><![CDATA[]]></description>
      <category>机器学习</category>
      <author>微信meiqite12</author>
      <pubDate>Sun, 19 Jan 2020 08:39:36 +0000</pubDate>
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      <title>《基于卷积神经网络的股票交易反转点与异常点检测》</title>
      <link>https://qmacd.com/t-jiqixuexi-670.html</link>
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      <category>机器学习</category>
      <author>蒙奇路小辉奇e</author>
      <pubDate>Sun, 19 Jan 2020 08:37:58 +0000</pubDate>
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      <title>《哈工大俞福福-基于神经网络的股票预测》</title>
      <link>https://qmacd.com/t-jiqixuexi-669.html</link>
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      <category>机器学习</category>
      <author>茕妆晚</author>
      <pubDate>Sun, 19 Jan 2020 08:36:08 +0000</pubDate>
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      <title>机器学习算法对中国A股的适应性比较</title>
      <link>https://qmacd.com/t-jiqixuexi-460.html</link>
      <description><![CDATA[摘要：在投资领域中，先后出现过诸多派别，有以基本面分析为主的，以巴菲特为特例。有以技术分析为主的，以约翰.墨菲为特例。近年来，随着计算机技术的不
断发展，欧美市场早已出现了一股量化投资风潮，并且不断壮大，该投资派别以詹姆斯.西蒙斯为代表。量化投资以其稳 ...]]></description>
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      <author>admin</author>
      <pubDate>Thu, 21 Nov 2019 23:37:27 +0000</pubDate>
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