于群 MATLAB_Simulink电力系统建模与仿真

SharePoint列表相关内容，扩展插件等。(SharePoint list related content, extension plug-ins, etc.)

geoda应用性文章，对geoda的应用有很好的帮助。(geoda application of the article, the application of geoda good help.)

关于关联向量机应用的最新文献！ 提出了一种核主元分析(KPCA)和关联向量机(RVM)相结合的组合建模方法。KPCA-RVM采用KPCA对原始自变量进行非线性变换并提取主成分,形成特征自变量 采用RVM,对KPCA变换后的样本数据进行回归建模,并根据模型的预报能力自适应的确定参与回归的最佳特征变量个数,消除冗余信息干扰,获得强非线性表达能力且预报性能良好的模型。并将KPCA-RVM应用于PTA装置对羧基苯甲醛(4-CBA)含量的软测量建模,结果表明该方法预测精度高于PCA-RVM和RVM。(A novel modeling method integrated KPCA with RVM was proposed. The kernel primary component analysis (KPCA) was employed to identify the principal components from the nonlinear transform data of independent variables, which were regarded as character variables. Regression between character variables and dependent variables was done based on RVM, and the optimal number of the character variables was adaptively determined according to the generalization performance of the regression model. Thus, KPCA-RVM meth...)

并网逆变器的虚拟同步发电机控制技术的一些资料(Grid-connected inverter virtual synchronous generator control technology of some information)

安卓人才企业面试题汇总，是从事安卓软件开发工作应聘时必要的宝典(Andrews personnel and enterprises face questions summary is engaged in the Android software development work necessary when candidates Collection)

说明：  功能： 1700 芯片SPI 工作模式下放音、录音、擦除等功能的编程示例 * * 硬件电路：参考中青世纪ISD1700-89c51 实验开发板电路(Functions: 1700 Chip SPI mode of devolution of sound, sound recordings, and other functions to erase the programming examples** hardware circuits: Reference Zhongqing ISD1700-89c51 century experimental development board circuit)

统计学习是计算机及其应用领域的一门重要的学科本书全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、K近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归、与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(Statistical learning is an important subject in the field of computer and application of this book comprehensively systematically introduces the main methods of statistical learning, especially the supervision method of study, including the perception, K neighbor method, naive bayesian method, decision tree, logistic regression, and the maximum entropy model, support vector machine (SVM), promotion methods, the EM algorithm, the hidden markov model and conditional random field, etc.)

A commented bash script to generate our final 2nd place solution can be found in make_kaggle_solution.sh. Running all the commands sequentially will probably take 7 - 10 days on recent consumer grade hardware. If you have multiple GPUs you can speed things up by doing training and feature extraction for the two networks in parallel. However, due to the computationally heavy data augmentation it may be far less than twice as fast especially when working with 512x512 pixel input images. You can also obtain a quadratic weighted kappa score of 0.839 on the private leaderboard by just training the 4x4 kernel networks and by performing only 20 feature extraction iterations with the weights that gave you the best MSE validation scores during training. The entire ensemble only achieves a slightly higher score of 0.845.

一个比较好的ppt模板，程序员汇报的时候可以使用(A good ppt templates, programmers can use when reporting)

本书不仅回顾了通信信号处理的经典研究领域，如自适应均衡、信道建模和识别、多用户检测和阵列处理，而且分析研究了一些新领域，如自适应编码调制、多输入多输出（MIMO）系统、分集合并和时频分析。此外，本书还探讨了神经网络、蒙特卡洛马尔可夫链和混沌等新兴技术，并对未来移动通信具有发展前途的方法进行了很好的概括性阐述。(The book investigates classical SP areas such as adaptive equalization, channel modeling and identification, multi-user detection, and array processing. It also investigates newer areas such as adaptive coded modulation, multiple-input multiple-output (MIMO) systems, diversity combining, and time-frequency analysis. It explores emerging techniques such as neural networks, Monte Carlo Markov Chain (MCMC) methods, and Chaos. It offers an excellent tutorial survey of promising approaches for future mobile communications such as cross-layer design in multi-access networks and adaptive wireless networks.)