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fuzzy-logic
模糊理论和神经网络的基础与应用，该书很有深度，值得仔细阅读。(Fuzzy theory and neural network-based and application, the book is very profound, worthy of careful reading.)
- 2009-12-05 15:10:27下载
- 积分：1
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test_KT_RM_correct
本程序用于验证Keystone算法设计的正确性，采用sinc内插法。(This procedure is used to verify the correctness of Keystone algorithm design, and sinc interpolation method is used.)
- 2018-08-07 10:03:02下载
- 积分：1
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SPIFI
说明： 用于恩智浦spifi的外部flash的调用及使用(for NXP extern flash)
- 2019-03-13 16:20:29下载
- 积分：1
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svpwm
说明： SVPWM仿真 实现PWM整流器的双闭环控制(SVPWMsimulation the double feedback control strategy of PWM rectifier)
- 2020-06-18 16:40:02下载
- 积分：1
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frmActive.Designer
说明： 餐厅管理系统，可以增删改查，还在改进，还不行吗(Restaurant management system, you can add, delete, modify and check, is still improving, is not it possible?)
- 2020-06-25 07:40:02下载
- 积分：1
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own buffer overflow on the PPT, we hope to help
自己做的关于缓冲区溢出方面的PPT，希望对大家有所帮助-own buffer overflow on the PPT, we hope to help
- 2022-06-18 02:08:54下载
- 积分：1
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毕业论文，一个考试系统
毕业论文，一个考试系统-Thesis, an examination system
- 2023-03-30 17:20:03下载
- 积分：1
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在西洋棋中的武士与象棋中的马相似，走的都是L形的路，本程序以一个非递归的程序，输入一个表示棋盘的大小值n，在输入一个起点的坐标，找出一条从第一格起可以让武士棋走...
在西洋棋中的武士与象棋中的马相似，走的都是L形的路，本程序以一个非递归的程序，输入一个表示棋盘的大小值n，在输入一个起点的坐标，找出一条从第一格起可以让武士棋走完n2格而不重复的路径。-In chess and chess in the samurai s horse is similar to walking are L-shaped path, the procedure to a non-recursive procedures, enter a value that the size of the chessboard of n, in the input the coordinates of a starting point to identify a starting from the first grid allows grid n2 samurai chess through the path without duplication.
- 2022-08-19 13:48:07下载
- 积分：1
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跨浏览器的jQuery虚拟键盘插件
说明： 一款轻量级、跨浏览器的jQuery虚拟键盘插件。该虚拟键盘插件允许用户自定义键盘的布局(A lightweight, cross-browser jQuery virtual keyboard plug-in. The virtual keyboard plug-in allows users to customize the layout of the keyboard)
- 2018-12-29 14:42:49下载
- 积分：1
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ELM_PSO-master
说明： 为了提升配网供电可靠性的预测精度!提出了基于主成分分析和粒子群优化极限学习机的配网供电可靠
性预测模型$ 从多方面分析影响供电可靠性的指标!利用主成分分析得到综合变量!实现对数据的降维$ 在此基
础上!构建人工神经网络并利用粒子群算法优化极限学习机的输入权值和阈值!完成对训练供电可靠性预测模型
的训练$ 以某大型电网的 ?L 个供电局样本 !% 种影响供电可靠性因素为例进行仿真分析!并将 E S R C E FQ C 4 G D算
法与 ! 种回归拟合算法对比!验证了该方法的有效性(It is clear that the learning speed of feedforward neural networks is in general far slower than required and it has been a major bottleneck in their applications for past decades. Two key reasons behind may be: (1) the slow gradient-based learning algorithms are extensively used to train neural networks, and (2) all the parameters of the networks are tuned iteratively by using such learning algorithms. Unlike these conventional implementations, this paper proposes a new learning algorithm called extreme learning machine (ELM) for single-hidden layer feedforward neural networks (SLFNs) which randomly chooses hidden nodes and analytically determines the output weights of SLFNs. In theory, this algorithm tends to provide good generalization performance at extremely fast learning speed. The experimental results based on a few artificial and real benchmark function approximation and classification problems including very large complex applications show that the new algorithm can p)
- 2020-07-07 16:58:45下载
- 积分：1
