Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized ...

Another innovative contribution is the Multi-Functional Recurrent Fuzzy Neural Network (MFRFNN ... data and improve prediction accuracy across various datasets, including stock prices and ...

They are used in face recognition, speech recognition, autonomous vehicles, handwriting recognition, medical diagnosis, stock ...