Abstract

From the Publisher: With applications ranging from motion detection to financial forecasting, recurrent neural networks (RNNs) have emerged as an interesting and important part of neural network research. Recurrent Neural Networks: Design and Applications reflects the tremendous, worldwide interest in and virtually unlimited potential of RNNs - providing a summary of the design, applications, current research, and challenges of this dynamic and promising field.

Keywords:
Artificial neural network Computer science Artificial intelligence

Metrics

657
Cited By
2.43
FWCI (Field Weighted Citation Impact)
0
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stock Market Forecasting Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Time Series Analysis and Forecasting
Physical Sciences →  Computer Science →  Signal Processing

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