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Recurrent Neural Networks: Concepts and Applications
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Recurrent Neural Networks: Concepts and Applications
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.
396 pages, 72 Tables, black and white; 131 Line drawings, black and white; 70 Halftones, black and w
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | October 4, 2024 |
| ISBN13 | 9781032310565 |
| Publishers | Taylor & Francis Ltd |
| Pages | 396 |
| Dimensions | 150 × 220 × 10 mm · 585 g |
| Language | English |
| Editor | Abraham, Ajith (Machine Intelligence Research Labs, USA) |
| Editor | Kumar Tyagi, Amit (National Forensic Sciences Univ., India) |
