Recurrent Neural Networks: Concepts and Applications

Kumar Tyagi, Amit, Abraham, Ajith

Recurrent Neural Networks: Concepts and Applications
  • 出版商: CRC
  • 出版日期: 2022-08-08
  • 售價: $6,700
  • 貴賓價: 9.5 折 $6,365
  • 語言: 英文
  • 頁數: 396
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032081643
  • ISBN-13: 9781032081649

    • 海外代購書籍(需單獨結帳)

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商品描述

The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward network, learning algorithm, neural turning machines, and approximation ability. The text discusses diverse applications in areas including air pollutant modeling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing. Case studies are interspersed throughout the book for better understanding.

FEATURES

  • Covers computational analysis and understanding of natural languages

  • Discusses applications of recurrent neural network in e-Healthcare

  • Provides case studies in every chapter with respect to real-world scenarios

  • Examines open issues with natural language, health care, multimedia (Audio/Video), transportation, stock market, and logistics

The text is primarily written for undergraduate and graduate students, researchers, and industry professionals in the fields of electrical, electronics and communication, and computer engineering/information technology.

商品描述(中文翻譯)

本文討論了用於預測的循環神經網絡，並提供了對循環神經網絡的學習算法、架構和穩定性的新見解。它討論了重要的主題，包括循環和折疊網絡、長短期記憶（LSTM）網絡、門控循環單元神經網絡、語言建模、神經網絡模型、激活函數、前饋網絡、學習算法、神經轉換機和近似能力。本文還討論了在空氣污染建模和預測、吸引子發現和混沌、心電圖信號處理和語音處理等領域的多樣應用。書中穿插了案例研究，以便更好地理解。

特點：
- 包括對自然語言的計算分析和理解
- 討論了循環神經網絡在電子醫療領域的應用
- 每章提供與現實場景相關的案例研究
- 探討了自然語言、醫療保健、多媒體（音頻/視頻）、交通運輸、股票市場和物流等領域的未解決問題

本文主要針對電氣、電子與通信以及計算機工程/信息技術領域的本科生、研究生、研究人員和行業專業人士撰寫。

作者簡介

Amit Kumar Tyagi is Assistant Professor (Senior Grade), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, India. His current research focuses on Machine Learning with Big data, Blockchain Technology, Data Science, Cyber Physical Systems, Smart & Secure Computing and Privacy. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems. He received his Ph.D. Degree from Pondicherry Central University, India. He is a member of the IEEE

Ajith Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. As an Investigator and Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia and China. His research focuses on real world problems in the fields of machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, and data mining. He is the Chair of the IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. He is the editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves/served on the editorial board of several International Journals. He received his Ph.D. Degree in Computer Science from Monash University, Melbourne, Australia.

作者簡介(中文翻譯)

Amit Kumar Tyagi是印度Vellore Institute of Technology (VIT) Chennai Campus的助理教授（高級級別）和高級研究員。他目前的研究重點是機器學習與大數據、區塊鏈技術、數據科學、物聯網、智能和安全計算以及隱私保護。他參與了幾個項目，如AARIN和P3-Block，以解決與車輛應用（如停車）和醫療物聯網系統中的隱私侵犯相關的一些問題。他在印度Pondicherry Central University獲得了博士學位。他是IEEE的成員。

Ajith Abraham是Machine Intelligence Research Labs（MIR Labs）的主任，這是一個連接工業和學術界的非營利科學研究卓越網絡。作為調查員和共同調查員，他獲得了來自澳大利亞、美國、歐盟、意大利、捷克共和國、法國、馬來西亞和中國的研究資助，總額超過1億美元。他的研究重點是機器智能、物聯網、網絡安全、傳感器網絡、網絡智能、Web服務和數據挖掘等領域的現實世界問題。他是IEEE系統人和控制學會軟計算技術委員會的主席。他是《Engineering Applications of Artificial Intelligence（EAAI）》的主編，並在多個國際期刊的編輯委員會中擔任/曾擔任職務。他在澳大利亞墨爾本的Monash University獲得了計算機科學博士學位。

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