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Syllabus_Art(12)
- learning English The following appeared in a memorandum written by the vice president of Nature s Way, a chain of stores selling health food and other health-related products. "Previous experience has shown that our stores are most profitable in area
200722114748902
- 用友通标准版“此帐套的行业性质与科目中的科目分类不同”错误检查小工具-UFIDA Tong Standard Edition " This帐套industry subjects the nature and classification of different subjects" error checking Gadgets
svpwmintroduction
- SVPWM的等效算法及SVPWM与SPWM的本质联系.PDF SVPWM原理及其Simulink仿真.PDF 两本书教你如何使用svpwm-SVPWM algorithm and the equivalent nature of SVPWM and SPWM contact. PDF SVPWM principle and Simulink simulation. PDF two books teach you how to use svpwm
Matlab_Simulink-BLDCM
- 电力电子相关的仿真应用，直流无刷电机的控制仿真巧夺天工用诮顺-Simulation of power electronics-related applications, brushless DC motor control simulation of nature' s intricate use blame-shun
cccc
- 摘要:提出了一种新型的人工免疫算法用来解决多目标函数优化问题。基于自然免疫系统固有的优良特性对算法进行了设计和分析。 最后,算法对3个较复杂的多目标问题进行了优化,优化结果能很好地覆盖问题的Pareto最优面,并且把算法与某些混合遗传算法进行 了对比实验,表明人工免疫算法在解决多目标优化问题上具有可观的研究前景。 -Abstract:In order to effectively solve multiobjective optimization problems, a novel
regressionmodel
- 回归模型可以应用于各种领域研究，阅读此PPT可以抓住回归模型建立的本质-Regression model can be applied to various areas of research, read the PPT can grasp the nature of regression model
qqyuama
- 此程序是一份仅提供Web编程模仿技术研究，社会 工程师水平锻炼，网络防骗流程深入研究的一份程序，并且程序性质不为公开性。（二）拥有此份 程序的客户都经过了签约，如果您是通过其他方式获取的此份程序，请在24小时内删除，通过本程 序导致的一些大小后果，均完全与开发商无任何责任关系，并且不提供任何采访，调查的配合，客 户资料也将完全保密，不对任何人，部门开放性透露-This program is a research imitate only Web programming techniques, a
Digital-signal-processing
- 数字信号处理是一门研究信号处理的理论和技术，它具有注重信号本质和讲求信号处理实效的科学精神，是信息类大学生的一门重要课程。-Digital signal processing is a study of the theory and techniques of signal processing, signal it has focused on the nature and effectiveness of stress signal processing scientific spirit
polyurea
- 聚合物在不同外界条件下的模型研究，接受了聚合物的性质和模型建立过程-Model polymer under different external conditions, the nature and accepted model building process the polymer
PHD_Thesis_LiuJing_ECE_2007
- Target tracking has been widely used in different fields such as surveillance, automated guidance systems, and robotics in general. The most commonly used framework for tracking is that of Bayesian sequential estimation. This framework is probabi