دانلود کتاب Autonomous Learning Systems: From Data Streams to Knowledge in Real-time – سیستم های یادگیری خودمختار: از جریان داده گرفته تا دانش در زمان واقعی

توضیحات

Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility.

Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society.

Key features:

• Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications.
• Covers a wide range of applications in fields including unmanned vehicles/robotics, oilrefineries, chemical industry, evolving user behaviour and activity recognition.
• Reviews traditional fields including clustering, classification, control, fault detection andanomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms.
• Accompanied by a website hosting additional material, including the software toolbox andlecture notes.

Autonomous Learning Systems provides a one-stop shop on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.

Content:
Chapter 1 Introduction (pages 116):
Chapter 2 Fundamentals of Probability Theory (pages 1736):
Chapter 3 Fundamentals of Machine Learning and Pattern Recognition (pages 3759):
Chapter 4 Fundamentals of Fuzzy Systems Theory (pages 6181):
Chapter 5 Evolving System Structure from Streaming Data (pages 83107):
Chapter 6 Autonomous Learning Parameters of the Local Submodels (pages 109119):
Chapter 7 Autonomous Predictors, Estimators, Filters, Inferential Sensors (pages 121131):
Chapter 8 Autonomous Learning Classifiers (pages 133141):
Chapter 9 Autonomous Learning Controllers (pages 143153):
Chapter 10 Collaborative Autonomous Learning Systems (pages 155161):
Chapter 11 Autonomous Learning Sensors for Chemical and Petrochemical Industries (pages 163178):
Chapter 12 Autonomous Learning Systems in Mobile Robotics (pages 179196):
Chapter 13 Autonomous Novelty Detection and Object Tracking in Video Streams (pages 197209):
Chapter 14 Modelling Evolving User Behaviour with ALS (pages 211222):
Chapter 15 Epilogue (pages 223228):

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ترجمه ماشینی :

سیستم های یادگیری خودمختار نتیجه بیش از یک دهه تحقیق و مطالعات متمرکز در این منطقه نوظهور است که شامل تعدادی از رشته های مشهور و تثبیت شده است که شامل یادگیری ماشین ، شناسایی سیستم ، داده کاوی ، منطق فازی ، شبکه های عصبی ، سیستم های عصبی فازی ، تئوری کنترل و تشخیص الگوی. تکامل این سیستم ها هر دو با تقاضای فزاینده ای از بخش هایی مانند دفاعی و امنیت ، هوافضا و صنایع فرآیند پیشرفته ، حمل و نقل زیستی و حمل و نقل هوشمند و همچنین تحقیق محور وجود دارد و همچنین روند قوی نوآوری در نوآوری وجود دارد تمام رشته های تحقیقاتی به خوبی تثبیت شده که به برنامه آنلاین و زمان واقعی آنها مرتبط است. سازگاری و انعطاف پذیری آنها. سیستم های یادگیری خودمختار با یک رویکرد سیستماتیک که پایه و اساس یک منطقه در حال رشد سریع را فراهم می کند که زمینه های مختلفی از کاربردهای فناوری را برای صنعت و جامعه مهم خواهد داشت.