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Recurrent Neural Networks
Concepts and Applications
By: Amit Kumar Tyagi (Editor), Ajith Abraham (Editor)
Paperback | 4 October 2024
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Paperback
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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.
ISBN: 9781032310565
ISBN-10: 1032310561
Published: 4th October 2024
Format: Paperback
Language: English
Number of Pages: 414
Audience: Professional and Scholarly
Publisher: Taylor & Francis Ltd
Country of Publication: GB
Dimensions (cm): 23.39 x 15.6 x 2.16
Weight (kg): 0.58
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This product is categorised by
- Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceNeural Networks & Fuzzy Systems
- Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceMachine Learning
- Non-FictionComputing & I.T.Computer ScienceDigital Signal Processing (DSP)
- Non-FictionComputing & I.T.Computer Networking & Communications
- Non-FictionEngineering & TechnologyElectronics & Communications EngineeringCommunications Engineering & Telecommunications
- Non-FictionComputing & I.T.Computer ScienceMathematical Theory of Computation
- Non-FictionEngineering & TechnologyEnergy Technology & EngineeringElectrical Engineering
- Non-FictionEngineering & TechnologyElectronics & Communications EngineeringElectronics EngineeringAutomatic Control Engineering