Machine Learning for Future Fiber Optic Communication Systems is popular PDF and ePub book, written by Alan Pak Tao Lau in 2022-02-10, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning for Future Fiber Optic Communication Systems can be Read Online from any device for your convenience.
Machine Learning for Future Fiber Optic Communication Systems Book PDF Summary
Machine Learning for Future Fiber-Optic Communication Systems provides a comprehensive and in-depth treatment of machine learning concepts and techniques applied to key areas within optical communications and networking, reflecting the state-of-the-art research and industrial practices. The book gives knowledge and insights into the role machine learning-based mechanisms will soon play in the future realization of intelligent optical network infrastructures that can manage and monitor themselves, diagnose and resolve problems, and provide intelligent and efficient services to the end users. With up-to-date coverage and extensive treatment of various important topics related to machine learning for fiber-optic communication systems, this book is an invaluable reference for photonics researchers and engineers. It is also a very suitable text for graduate students interested in ML-based signal processing and networking. Discusses the reasons behind the recent popularity of machine learning (ML) concepts in modern optical communication networks and the why/where/how ML can play a unique role Presents fundamental ML techniques like artificial neural networks (ANNs), support vector machines (SVMs), K-means clustering, expectation-maximization (EM) algorithm, principal component analysis (PCA), independent component analysis (ICA), reinforcement learning, and more Covers advanced deep learning (DL) methods such as deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs) Individual chapters focus on ML applications in key areas of optical communications and networking
Detail Book of Machine Learning for Future Fiber Optic Communication Systems PDF
- Author : Alan Pak Tao Lau
- Release : 10 February 2022
- Publisher : Academic Press
- ISBN : 9780323852289
- Genre : Technology & Engineering
- Total Page : 404 pages
- Language : English
- PDF File Size : 11,8 Mb
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