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Machine-based

  • A Course in Machine Learning

    Machine learning is a broad and fascinating field. Even today, machine learning technology runs a substantial part of your life, often without you knowing it. Any plausible approach to artifi- cial intelligence must involve learning, at some level, if for no other reason than it’s hard to call a system intelligent if it cannot learn. Machine learning is also fascinating in its own right for the philo- sophical questions it raises about what it means to learn and succeed at tasks.

    標簽: Learning Machine Course in

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Auto-Machine-Learning-Methods-Systems-Challenges

    The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensitive to a plethora of design decisions, which constitutes a considerable barrier for new users. This is particularly true in the booming field of deep learning, where human engineers need to select the right neural architectures, training procedures, regularization methods, and hyperparameters of all of these components in order to make their networks do what they are supposed to do with sufficient performance. This process has to be repeated for every application. Even experts are often left with tedious episodes of trial and error until they identify a good set of choices for a particular dataset.

    標簽: Auto-Machine-Learning-Methods-Sys tems-Challenges

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Foundations+of+Machine+Learning+2nd

    This book is a general introduction to machine learning that can serve as a reference book for researchers and a textbook for students. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms.

    標簽: Foundations Learning Machine 2nd of

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • interpretable-machine-learning

    Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model- agnosticmethodsforinterpretingblackboxmodelslikefeatureimportanceandaccumulatedlocal effects and explaining individual predictions with Shapley values and LIME.

    標簽: interpretable-machine-learning

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Machine Learning Healthcare Technologies

    Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current research at the interface between machine learning and healthcare.

    標簽: Technologies Healthcare Learning Machine

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • Machine learning

    Machine learning is about designing algorithms that automatically extract valuable information from data. The emphasis here is on “automatic”, i.e., machine learning is concerned about general-purpose methodologies that can be applied to many datasets, while producing something that is mean- ingful. There are three concepts that are at the core of machine learning: data, a model, and learning.

    標簽: learning Machine

    上傳時間: 2020-06-10

    上傳用戶:shancjb

  • A Dynamic Feedback-based Load BalancingMethodology

    該文檔為A Dynamic Feedback-based Load BalancingMethodology簡介資料,講解的還不錯,感興趣的可以下載看看…………………………

    標簽: 負載均衡

    上傳時間: 2021-11-05

    上傳用戶:

  • 基于STM32F103單片機電流電壓采集系統設計

    配電網中,各種配電終端的電流、電壓、有功功率及無功功率等模擬量的采集是配電網自動化的重要環節。這些模擬量的采集也是各種儀器和家用電器的必要功能。因此,設計了基于嵌入式STM32F103單片機的交流電壓、交流電流及有功功率的采集系統,通過電壓互感器TV1005M和電流互感器TA1005M分別檢測交流電壓和交流電流值;屏幕或者手機APP和WiFi模塊互聯后,可以實時顯示交流電壓、交流電流、功率及電量值;通過設定閾值功率,可以實現對電流的監控和對電路的保護。In the distribution network,the collection of analog,such as current,voltage,active power,and reactive power at various distribution terminals is a very important part of distribution network automation. These analog acquisitions are also for various instruments and household appliances. Very important technology. Therefore,an AC voltage,AC current and active power acquisition system based on embedded STM32 F103 machine is designed,and AC voltage and AC current values are detected by voltage transformer TV1005 M and current Transformer TA1005 M respectively;After the screen or mobile phone APP and WiFi modules are interconnected,AC voltage,AC current,power,and power values can be displayed in real time;By setting the threshold power,the current can be monitored and the circuit can be protected.

    標簽: stm32f103 單片機 電流電壓采集

    上傳時間: 2022-03-27

    上傳用戶:shjgzh

  • 基于DSP28335的永磁同步電機調速系統設計

    基于DSP28335的永磁同步電機調速系統設計摘要(中英文)     本控制系統的設計是為了實現基于TMS320F28335的永磁同步電動機的調速系統,并把它引用到全電動注塑機當中。本系統使用SVPWM的控制方法,通過采樣電機電流和旋轉變壓器的位置信息,實現速度、電流雙閉環控制。通過TMS320F28335的硬件浮點處理核心,實現應用于永磁同步電機的浮點算法,去取代過去的定點算法,提高代碼效率。 Abstract: The control system is designed to realize TMS320F28335 based on the permanent magnet synchronous motor speed control system, and put it to quoting all electric of injection molding machine. The ystem of the control method used SVPWM, through the sampling motor current and rotating transformer 1.        引言1.1 設計背景及目的    本永磁同步電機調速系統是全電動注塑機的其中一個應用部分。全電動注塑機憑借著其節約能源、清潔、噪聲少、速度控制效果好、精度高、可重復性高、成本低等眾多優點,成為了當下高端注塑機發展的一個方向。    全電動注塑機的所有運動機構都采用交流伺服電動機驅動,一個穩定高效的永磁同步電動機驅動方案成為了全電動注塑機性能的一個總要部分。本次設計以適用于全電動注塑機的永磁同步電動機控制系統為目標進行設計,采用TI公司的TMS320F28335作為控制核心。憑借TMS320F28335高速的運算能力,適用于電動機控制的各種外設,以及TMS320F283XX特有的硬件浮點運算能力,進行永磁同步電動機的調速控制系統的設計。

    標簽: dsp28335 永磁同步電機

    上傳時間: 2022-05-08

    上傳用戶:

  • 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

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