▍1. algorithms
十大算法论文，包括遗传算法，模拟退火，蒙特卡罗法等等，对于初学者很有帮助！！(Ten papers algorithms, including genetic algorithms, simulated annealing, Monte Carlo method, etc., very helpful for beginners! !)
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▍2. 一种基于双通道CNN和LSTM的短期光伏功率预测方法
说明： 针对传统光伏功率预测特征提取不足导致预测精度不高的问题，提出一种双通道网络 模型进行光伏功率预测。首先将光伏功率历史数据进行归一化处理，再将数据送入两个并行的卷积神经网络( Convolutional Neural Network，CNN) 进行特征提取，经融合层融合送入长短期记忆网络( Long Short-Term Memory，LSTM) 进行光伏功率预测。采用地中海气候光伏发电数据集进行测试，结果表明所提出的方法与单通道网络相比平均绝对误差( Mean-Absolute Error，MAE) 减小了 12. 3%，均方根误差( Ｒoot-Mean-Square Error，ＲMSE) 减小了 3%，实现了更高的预测精度。(Aiming at the problem that the traditional PV power prediction feature is insufficiently extracted and the prediction accuracy is not high, a dual-channel network model is proposed for PV power prediction. First, the photovoltaic power historical data is normalized, and then the data is sent to two parallel convolutional neural networks for feature extraction, and the fusion layer is fed to the long-term and short-term memory network for photovoltaic power prediction. Using the Mediterranean climate photovoltaic power generation data set for testing, the results show that the proposed method reduces the average absolute error by 12.3% and the root mean square error by 3% compared with a single channel network, achieving higher prediction accuracy .)
▍5. wind power forecasting based on EWT-KELM
针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learning machine combination prediction method based on empirical wavelet transform preprocessing is proposed. Firstly, the EWT is used to adaptively decompose the measured wind speed data of the wind farm and extract the modal signal components with Fourier tight support. The KELM prediction model is constructed for each component. Finally, the output of each prediction model is superimposed to obtain the wind speed prediction value. The wind power characteristic curve of the wind farm can be obtained corresponding to the predicted wind power.)
▍6. wind power forecasting based on EWT-KELM
说明： 针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learning machine combination prediction method based on empirical wavelet transform preprocessing is proposed. Firstly, the EWT is used to adaptively decompose the measured wind speed data of the wind farm and extract the modal signal components with Fourier tight support. The KELM prediction model is constructed for each component. Finally, the output of each prediction model is superimposed to obtain the wind speed prediction value. The wind power characteristic curve of the wind farm can be obtained corresponding to the predicted wind power.)
▍7. uzzri
在动力系统故障部位分析中,引进了蚁群算法来解决问题 该算法的并行计算机制在组合优化问题的求解中体现了自身的优势(In the fault location analysis of power system, ant colony algorithm is introduced to solve the problem. The parallel computing mechanism of the algorithm embodies its own advantages in solving combinatorial optimization problems.)
▍8. Evaluation The Efficiency Of Cuckoo
Evaluation The Efficiency Of Cuckoo Evaluation The Efficiency Of Cuckoo
▍9. 清洁机器人全覆盖路径规划研究
说明： 一篇关于清洁机器人路径全局覆盖的硕士论文，对于研究扫地机的人学习有帮助！(A master's thesis on the overall coverage of the clean robot path is helpful to the study of the sweeps.)
▍10. 2017--Fuzzy-PSO controller design for PV
2017 Fuzzy-PSO controller design for maximum power point tracking in photovoltaic system
▍11. Interval-Type-2-Relative-Entropy
区间二型模糊聚类算法，给出了利用区间二型模糊熵改进FCM算法的思路和方法(Interval type-2 fuzzy clustering algorithm, gives the ideas and methods of interval type-2 fuzzy entropy Improved FCM Algorithm)
▍12. nfc_p2p
网上搜集的NFC P2P笔记，里面有原文网页链接，帮作者增加人气，哈哈哈！ NFC_P2P: NDEF消息解析实例.pdf NFC笔记——ATR_RES 消息结构.pdf NFC笔记——NFCIP-1协议命令集.pdf NFC笔记——PSL_REQ 和 PSL.pdf NFC笔记——WUP_REQ 和 WUP.pdf NFC笔记——初始化RF碰撞避免.pdf NFC笔记——传输帧格式.pdf NFC笔记——通用初始化及单设备检测(SDD)流程.pdf NFC笔记——主动模式和被动模式下激活协议的流程.pdf NFCForum-TS-NDEF.pdf(NFC P2P online collection of notes, there are the original links help authors increase the popularity, ha ha ha! NFC_P2P: NDEF message parsing instance .pdf NFC notes ATR_RES message structure .pdf NFC notes NFCIP-1 protocol commands .pdf NFC notes PSL_REQ and PSL.pdf NFC notes WUP_REQ and WUP.pdf NFC notes- initialization RF collision avoidance .pdf NFC notes- transport frame format .pdf NFC notes- general initialization and single device detection (SDD) process .pdf NFC notes- active mode and passive mode activation protocol process .pdf NFCForum-TS-NDEF.pdf)
▍13. RBFPsliding-modeP-robot-arm-tracking
基于滑模变结构控制在并联机器人中的应用RBF神经网络，这是一个典型的滑膜控制算法，适合新手学生入门开始。(RBF neural network based on the sliding mode variable structure control in the application of parallel robot, which is a classic synovial control, suitable for the new start of the students.)
▍14. Hypergraph-theory-algorithm
超图理论算法的重要著作，介绍的很详细，欢迎大家交流学习。(Ultra graph theory algorithms important works, describes in great detail, we welcome the exchange of learning.)
▍15. 最新的旋转森林集成分类器的研究 rotation forest
一些最新的旋转森林集成分类器的研究，能够很好的运用到高光谱图像、生物信息等其他方向。(Some of the latest research rotation forest integrated classifier, can be well applied to the other direction hyperspectral image, biological information.)
▍16. book-for-neural-network-toolbox
针对神经网络工具箱的一本书，实用工具箱之前可以看一看，有助于理解(In view of the neural network toolbox of a book, practical kit before can have a look, will help to understand)
▍17. 04244758
在无线协作网络中 以系统功率为优化目标 提出新的改进算法 最终降低了系统的中断概率 提高了系统性能(An Integrated Approach to Energy-Aware Medium Access for Wireless Sensor Networks)
▍18. formation-control
研究了自主水下航行器的编队控制问题，并使用李雅普诺夫函数加以证明。(Research on the AUV control problems of formation and use Lyapunov function to prove it.)
▍19. GBT_FPGA_SVN_Tag_History_3_1_1
GBT功能描述,对修订历史进行了描述，可以清晰看到里面的内容。(GBT functional description, a description of the revision history, you can clearly see the contents inside.)
▍20. JADE
一种改进的差分进化算法JADE，实验结果证明它的优化结果相对于其他的一些算法精度更高，稳定性更好(an improved differential evolution algorithm, experimantal results has demonstrated its effectiveness and efficient.)
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