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First Artificial Intelligence Methods and Systems for Asset Trendspotting (PNN), Cyber Security (DeepCyber), and Portable Big Data Cloud (MCPS)

机译:用于资产趋势发现(PNN),网络安全(DeepCyber​​)和便携式大数据云(MCPS)的首批人工智能方法和系统

摘要

New methods, systems, and apparatus, including computer programs called PNN (predictive neural network) artificial intelligence (AI) machines are disclosed for financial and cyber-security predictions. The PNN AI machines use unique neural network algorithms to optimize and select the best method with the highest back-test accuracy for the predictions. The PNN machines predict multiple relevant entities (e.g., stocks) to cross validate the future trends, and help respond to future financial and cyber-security crises like weather forecast to severe weather conditions. The PNN AI machines are applied in two fields: PNN Financial for investment and trading, and DeepCyber for cyber security. Extended from the PNN artificial neural networks (intelligence) machines, a group of DeepCyber methods based on the Mobile Cloud Pangu Servers (MCPS) cloud platform are disclosed to defend networks and computer applications for cyber security.
机译:公开了用于财务和网络安全预测的新方法,系统和装置,包括称为PNN(预测神经网络)人工智能(AI)机器的计算机程序。 PNN AI机器使用独特的神经网络算法来优化和选择具有最高回测精度的最佳方法进行预测。 PNN机器预测多个相关实体(例如股票)交叉验证未来趋势,并帮助应对未来的金融和网络安全危机,例如天气预报对恶劣天气的影响。 PNN AI机器应用于两个领域:用于投资和交易的PNN Financial和用于网络安全的DeepCyber​​。从PNN人工神经网络(智能)机器扩展而来,公开了一组基于移动云盘古服务器(MCPS)云平台的DeepCyber​​方法,以保护网络和计算机应用程序的网络安全。

著录项

  • 公开/公告号US2016269378A1

    专利类型

  • 公开/公告日2016-09-15

    原文格式PDF

  • 申请/专利权人 GEWEI YE;

    申请/专利号US201514658156

  • 发明设计人 GEWEI YE;

    申请日2015-03-14

  • 分类号H04L29/06;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 14:38:38

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