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于 2019-03-30 发布

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说明：使用蛙跳算法来解决一个工厂流程问题的事例(Frog hopping algorithm solves factory process problems)

文件列表：

初稿.py, 403 , 2019-03-10
图像.py, 2961 , 2018-12-15
图表.py, 2944 , 2019-02-22
蛙跳0.py, 2405 , 2019-02-18

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upf_demos
说明：％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)( PURPOSE: Demonstrate the differences between the following filters on the same problem: 1) Extended Kalman Filter (EKF) 2) Unscented Kalman Filter (UKF) 3) Particle Filter (PF) 4) PF with EKF proposal ( PFEKF) 5) PF with UKF proposal (PFUKF))

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说明：核极限学习机是一类基于前馈神经网络构建的机器学习系统或方法，适用于监督学习和非监督学习问题。(Kernel limit learning machine is a kind of machine learning system or method based on feedforward neural network, which is suitable for supervised learning and unsupervised learning.)

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