The main aim of this book is to present a unified, systematic description of basic and advanced problems, methods and ALGORITHMS of the modern con- trol theory considered as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological proc- esses. Taking into account a variety of new applications, the book presents a compact and uniform description containing traditional analysis and op- timization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems – important for applications in the control of manufacturing processes, in the project management and in the control of computer systems.
上傳時間: 2020-06-10
上傳用戶:shancjb
Modern information technologies and the advent of machines powered by artificial intelligence (AI) have already strongly influenced the world of work in the 21st century. Computers, ALGORITHMS and software simplify everyday tasks, and it is impossible to imagine how most of our life could be managed without them. However, is it also impossible to imagine how most process steps could be managed without human force? The information economy characterised by exponential growth replaces the mass production industry based on economy of scales
標簽: AI-and-Robotics-IBA-GEI-April 2017
上傳時間: 2020-06-10
上傳用戶:shancjb
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference ALGORITHMS such as variational Bayes and expectation propa- gation. Similarly, new models based on kernels have had significant impact on both ALGORITHMS and applications.
標簽: Bishop-Pattern-Recognition-and-Ma chine-Learning
上傳時間: 2020-06-10
上傳用戶:shancjb
Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design ALGORITHMS that transform com- puters into “intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by superhuman; it rather often involves very basic problems that humans solve very frequently in their day-to-day life. This can be as simple as recognizing faces in an image, driving a car, playing a board game, or reading (and understanding) an article in a newspaper. The intelligent behaviour ex- hibited by humans when “reading” is one of the main goals for a subfield of AI called Natural Language Processing (NLP). Natural language 1 is one of the most complex tools used by humans for a wide range of reasons, for instance to communicate with others, to express thoughts, feelings and ideas, to ask questions, or to give instruc- tions. Therefore, it is crucial for computers to possess the ability to use the same tool in order to effectively interact with humans.
標簽: Embeddings Processing Language Natural in
上傳時間: 2020-06-10
上傳用戶:shancjb
Computer science as an academic discipline began in the 1960’s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the 1970’s, the study of ALGORITHMS was added as an important component of theory. The emphasis was on making computers useful. Today, a fundamental change is taking place and the focus is more on a wealth of applications. There are many reasons for this change. The merging of computing and communications has played an important role. The enhanced ability to observe, collect, and store data in the natural sciences, in commerce, and in other fields calls for a change in our understanding of data and how to handle it in the modern setting. The emergence of the web and social networks as central aspects of daily life presents both opportunities and challenges for theory.
標簽: Foundations Science Data of
上傳時間: 2020-06-10
上傳用戶:shancjb
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
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.
上傳時間: 2020-06-10
上傳用戶:shancjb
高通藍牙芯片QCC5144 詳細規格手冊datasheet (共99頁)含各個接口說明,應用原理圖等信息。 QualcommTrueWireless? stereo earbuds (無線雙耳) Features(特點) ■ Qualifiedto Bluetooth v5.2 specification (藍牙協議標準5.2) ■ 120 MHz Qualcomm ? Kalimba ? audio DSP (120MHz 的音頻DSP處理器) ■ 32 MHz/80MHz Developer Processor for applications ■ Firmware Processor for system ■ Flexible QSPI flash programmable platform (可編程的QSPI外掛存儲器) ■ High-performance 24?bit audio interface (高性能的24位音頻接口) ■ Digital and analog microphone interfaces (含 數字 及模擬 MIC接口) ■ Flexible PIO controller and LED pins with PWM support ■ Serial interfaces: UART, Bit Serializer (I2C/SPI), USB 2.0 (支持串口,I2C, SPI,USB 接口) ■ Advanced audio ALGORITHMS (高級的音頻算法) ■ ActiveNoise Cancellation: (支持ANC 主動降噪功能) Hybrid, Feedforward, and Feedback modes, using Digital or Analog Mics, enabled using license keys available from Qualcomm? ■ Qualcomm ? aptX ? and aptX HD Audio (支持獨特的aptx 功能)
上傳時間: 2022-04-07
上傳用戶:
高通藍牙芯片QCC3040 詳細規格手冊datasheet (共96頁)QualcommTrueWireless? stereo earbuds (無線雙耳)Features(特點)■ Qualifiedto Bluetooth v5.2 specification (藍牙協議標準5.2)■ 120 MHz Qualcomm ? Kalimba ? audio DSP (120MHz 的音頻DSP處理器)■ 32 MHz Developer Processor for applications (32MH的 應用處理器)■ Firmware Processor for system■ Flexible QSPI flash programmable platform (可編程的QSPI外掛存儲器)■ High-performance 24?bit audio interface (高性能的24位音頻接口)■ Digital and analog microphone interfaces (含 數字 及模擬 MIC接口)■ Flexible PIO controller and LED pins with PWM support■ Serial interfaces: UART, Bit Serializer (I2C/SPI), USB 2.0 (支持串口,I2C, SPI,USB 接口)■ Advanced audio ALGORITHMS (高級的音頻算法)■ ActiveNoise Cancellation: (支持ANC 主動降噪功能)Hybrid, Feedforward, and Feedback modes, using Digitalor Analog Mics, enabled using license keys available from Qualcomm?■ Qualcomm ? aptX ? and aptX HD Audio (支持獨特的aptx 功能)
上傳時間: 2022-04-09
上傳用戶:slq1234567890
C算法(第一卷)-帶目錄.pdfC語言數值算法程序大全(第二版).pdfC語言經典算法大全.pdfff6f5d529e875d2bec2713adc98d25b477aa8a63.pdfIntroduction to ALGORITHMS(3rd Edition).pdfMATLAB語言常用算法程序集.pdfNetflix Prize中的協同過濾算法.pdfp范數正則化支持向量機分類算法_劉建偉.pdf[數據結構與算法分析C.描述].(美國)Mark.Allen.Weiss.掃描版.pdf[程序語言的奧妙:算法解讀(四色全彩)].(杉浦賢).李克秋.掃描版.pdf《算法導論(原書第3版)》.pdf【愛生活的程序員-氣宗】算法導論(第三版).pdf【算法(第4版)迷你書】.pdf一種基于灰度變換的紅外圖像增強算法.pdf一種改進的支持向量機的文本分類算法.pdf一種靜態圖像壓縮編碼算法的改進.pdf個性化搜索引擎推薦算法研究.pdf分布式計算——原理、算法和系統.pdf十五個經典算法研究與總結、目錄+索引by_July (1).pdf十五個經典算法研究與總結、目錄+索引by_July.pdf十大濾波算法程序大全(Arduino精編無錯版) - Powered by Discuz!.pdf圖論及其算法.pdf基于模擬退火與遺傳算法結合的神經網絡圖像分割.pdf大數據算法.PDF嵌入式系統軟件設計中的常用算法 (周航慈 清晰.pdf支持向量機通俗導論(理解SVM的三層境界) - 結構之法 算法之道 - 博客頻道 - CSDN.pdf支持向量機:理論、算法與拓展.pdf改進的基于DCT的自適應水印算法(重要).pdf數學建模MATLAB算法大全.pdf數學建模競賽中應當掌握的十類算法.pdf數據挖掘十大算法(英).pdf數據結構與算法分析 C++描述(高清非掃描).pdf最優化理論與算法(第2版).pdf機器學習十大算法(9):樸素貝葉斯.pdf算法 英文版第4版 Robert Sedgewick .pdf.pdf算法(algorithm)手寫代碼必備手冊(C++版).pdf算法導論(CLRS)筆記.p...
標簽: 算法
上傳時間: 2022-06-06
上傳用戶: