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基于神经网络的滑坡预测及其控制研究
说明： 本文针对滑坡预测预报这一复杂性问题提出一种基于前向反馈传播（BP）神经网络的预测模型，描述了滑坡系统输入输出之间的非线性关系。为克服 BP 网络后期收敛速度慢、易陷入局部极小点等缺点，以遗传算法（GA）和模拟退火算法（SA）相结合的方式即遗传-模拟退火（GSA）算法对网络权值进行优化。用该方法预测滑坡位移获得了较好的效果(In this paper, a prediction model based on forward feedback propagation (BP) neural network is proposed for the complex problem of landslide prediction. The nonlinear relationship between input and output of landslide system is described. In order to overcome the shortcomings of BP network, such as slow convergence speed and easy to fall into local minima, genetic algorithm (GA) and simulated annealing algorithm (SA) are combined to optimize the network weight. The method can be used to predict the displacement of landslides)
- 2020-04-11 21:07:59下载
- 积分：1
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利用机器学习预测房价数据
说明： 利用机器学习中的的线性回归模型，完成对房价的预估(Using the linear regression model in machine learning to complete the prediction of house price)
- 2020-05-15 22:59:11下载
- 积分：1
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pyz1
在基于python3.6 的pycharm 平台上，使用pyqt5搭建的窗口程序参考代码。(Based on python3.6,in develop plat pycharm2008,we use pyqt5 build a windows app.)
- 2018-12-08 10:43:38下载
- 积分：1
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BP-NN
说明： BP神经网络算法,自动分析误差，参数迭代生成(BP neural network algorithm, automatic error analysis, iterative parameter generation)
- 2020-07-04 00:00:28下载
- 积分：1
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3ee22f38ek09d180d8adbee5c8596f01
说明： 学习资料，仅供参考，好好学习，多多益善，日积月累，逆水行舟，能者上。(Learning materials, for reference only, study hard, more good, accumulated over time, sailing against the current, capable people.)
- 2020-05-05 22:19:06下载
- 积分：1
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service
Declares the RPC service interfaces.
- 2014-03-08 16:20:58下载
- 积分：1
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PyQt5快速开发与实战所有程序
说明： 《PyQt5快速开发与实战》所有章节的例程(Routines for all chapters of PyQt5 Rapid Development and Practice)
- 2020-06-21 07:40:01下载
- 积分：1
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Python
Python的基础资料，适合新手进行学习，附带讲解的PPT资料(Python basic materials, suitable for beginners to learn, with explanation of the PPT materials)
- 2020-06-21 19:20:01下载
- 积分：1
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PCA python程序
该程序实现PCA的分类功能，程序后面有详细的解释，经检测，程序能够跑通(The program realizes the classification function of PCA. The program is explained in detail later. After testing, the program can run through.)
- 2018-12-23 22:45:14下载
- 积分：1
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代码及相关文件
说明： IPC分类号的共现矩阵，技术融合，PYTHON代码(Co-occurrence matrix of IPC classification number)
- 2020-07-12 21:18:53下载
- 积分：1
