Recurrent Neural Networks (RNNs)

Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
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Atefeh Hemmati: Islamic Azad University, Department of Computer Engineering, SR.C
Amir Masoud Rahmani: National Yunlin University of Science and Technology, Future Technology Research Center
Fatemeh Bazikar: Alzahra University, Department of Computer Science, Faculty of Mathematical Sciences
Hossein Moosaei: Jan Evangelista Purkyně University, Department of Informatics, Faculty of Science
Panos M. Pardalos: University of Florida, Department of Industrial & Systems Engineering

Chapter Chapter 4 in Optimization Techniques for Deep Learning, 2026, pp 65-74 from Springer

Abstract: Abstract Jürgen Schmidhuber, the visionary who pioneered modern RNNs, did not just build models; he recognized a mirror. The brain does not process the world in isolated snapshots; it remembers, anticipates, and connects the dots across time. And that, in essence, is exactly what an RNN does.

Date: 2026
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DOI: 10.1007/978-3-032-20703-6_4

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