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strategy

高效的k-means算法實現

高效的k-means算法實現，使用了k-d樹與局部搜索等提高k-means算法的執行效率，同時包含示例代碼，用c++代碼實現。 Effecient implementation of k-means algorith, k-d tree and local search strategy are implementd to improve the effeciency, samples are included to show how to use it. All codes are implemented in C++.

標簽： k-means 算法

上傳時間： 2016-03-28

上傳用戶：yulg
參加軟件機構培訓的資料

參加軟件機構培訓的資料，包括軟件生命周期與軟件架構介紹；軟件架構風格；UML與面向對象程序設計；UML建模與分析；技術架構視圖-設計原則與模式；軟件系統壞死的癥狀；liskov替換原則（LSP）；接口隔離原則（ISP；依賴倒置原則（DIP）；設計模式；策略（strategy）模式；橋接（Bridge）模式；命令（command）模式等，是老師智慧的結晶。

標簽： 軟件機構

上傳時間： 2016-12-02

上傳用戶：xaijhqx
Bi-density twin support vector machines

In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization

標簽： recognition Bi-density machines support pattern vector twin for

上傳時間： 2019-06-09

上傳用戶：lyaiqing
Propagation Channel Characterization

The investigation of the propagation channel is becoming more and more important in mod- ern wireless communication. The demand for spectral efficiency motivates exploitation of all channels that can possibly be used for communications. Nowadays, a common trend for designing physical layer algorithms is to adapt the transceiving strategy, either by maximizing the diversity gains or by utilizing the coherence of the channels to improve the signal-to-noise power ratio.

標簽： Characterization Propagation Channel

上傳時間： 2020-05-31

上傳用戶：shancjb
Ecodesign+Preparatory+Study

Since the 1990s the EU has been pursuing climate change mitigation targets. Following the international commitment to the legally binding greenhouse gas reduction under the Kyoto Protocol, the 2020 policy package consists of a set of binding legislation to ensure that the EU meets its climate and energy targets for the year 2020. The package sets three key targets: 20% reduction in greenhouse gas emissions (from 1990 levels), 20% of EU energy from renewables (as well as a 10% target for renewable fuels) and 20% improvement in energy efficiency. The targets were set by EU leaders in 2007 and enacted in legislation in 2009 3 . They are also headline targets of the Europe 2020 strategy for smart, sustainable and inclusive growth.

標簽： Preparatory Ecodesign Study

上傳時間： 2020-06-06

上傳用戶：shancjb
Smart+Grid

The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza- tion techniques that use real - time measurements to minimize network losses, maintain voltage levels, increase reliability, and improve asset management. The operational data collected by the smart grid and its sub - systems will allow system operators to rapidly identify the best strategy to secure against attacks, vulnerability, and so on, caused by various contingencies. However, the smart grid fi rst depends upon identifying and researching key performance measures, designing and testing appropriate tools, and developing the proper education curriculum to equip current and future personnel with the knowledge and skills for deployment of this highly advanced system.

標簽： Smart Grid

上傳時間： 2020-06-07

上傳用戶：shancjb
Deep-Learning-with-PyTorch

We’re living through exciting times. The landscape of what computers can do is changing by the week. Tasks that only a few years ago were thought to require higher cognition are getting solved by machines at near-superhuman levels of per- formance. Tasks such as describing a photographic image with a sentence in idiom- atic English, playing complex strategy game, and diagnosing a tumor from a radiological scan are all approachable now by a computer. Even more impressively, computers acquire the ability to solve such tasks through examples, rather than human-encoded of handcrafted rules.

標簽： Deep-Learning-with-PyTorch

上傳時間： 2020-06-10

上傳用戶：shancjb
基于TMS320F28035芯片為控制核心的空間矢量異步電機變頻器

基于TMS320F28035芯片為控制核心的空間矢量異步電機變頻器我們設計的異步電機變頻調速器以TMS320F28035芯片為控制核心，通過輸出三相PWM波控制智能功率模塊IPM驅動三相異步電機。我們使用空間矢量SVPWM算法，并對其進行了優化。采用檢測反電勢的方法省去了昂貴的光電編碼器，大大節省了成本。同時開創性的研發了自動根據運行環境調節的自適應變頻算法，使我們的變頻調速器可以在電網條件惡劣的鄉村山區工作，由此該變頻器已被一家民用水泵生產企業預訂。關鍵字變頻器 TMS320f28035 IPM SVPWM In our design, the asynchronous machine inverter based on the chip of TMS320F28035 drives the three-Phase asynchronous machine by sending three-phase PWM waves to the IPM, which is short for the Intelligent-Power-Module. The SVPWM (space vector pulse width modulation) strategy is applied to our control algorithm and we optimize it mainly in two aspects. Firstly the inverter detects the speed by measuring the Back EMF instead of installing an expensive photoelectric encoder for costs reduction.

標簽： tms320f28035 芯片

上傳時間： 2022-05-08

上傳用戶：zhanglei193