Produktbild
Amit (Hrsg.) Kumar Tyagi

Recurrent Neural Networks

Concepts and Applications

Buch

This book comprehensively covers concepts of recurrent neural networks and discusses practical issues such as predictability and nonlinearity detecting. It will an ideal text for senior undergraduate, graduate students, researchers, and professionals in the fields of electrical, electronics and communication, and computer engineering.

CHF 226.00

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Produktdetails


Weitere Autoren: Abraham, Ajith (Hrsg.)
  • ISBN: 978-1-03-208164-9
  • EAN: 9781032081649
  • Produktnummer: 38369197
  • Verlag: Taylor and Francis
  • Sprache: Englisch
  • Erscheinungsjahr: 2022
  • Seitenangabe: 396 S.
  • Masse: H23.4 cm x B15.6 cm 920 g
  • Abbildungen: Farb., s/w. Abb.
  • Gewicht: 920

Über den Autor


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 IEEEAjith 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.

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