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A Derivative-free Framework for Training Arbitrary-Topology Recurrent Neural Networks

https://doi.org/10.2139/ssrn.6962541
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11063-022-11055-6openalex-snapshot
Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
inferredcites →https://doi.org/10.1007/s12532-024-00267-7openalex-snapshot
Solving higher dimensional expensive black box global optimization problems using sparse directional search on surrogates
inferredcites →https://doi.org/10.1016/j.asoc.2010.05.029openalex-snapshot
Simulated annealing algorithm with adaptive neighborhood
inferredcites →https://doi.org/10.1016/j.procs.2023.08.187openalex-snapshot
The Multi-Recurrent Neural Network for State-Of-The-Art Time-Series Processing
inferredcites →https://doi.org/10.1080/09540098908915631openalex-snapshot
Experimental Analysis of the Real-time Recurrent Learning Algorithm
inferredcites →https://doi.org/10.1109/101.17235openalex-snapshot
Simulated annealing algorithms: an overview
inferredcites →https://doi.org/10.1109/5.58337openalex-snapshot
Backpropagation through time: what it does and how to do it
inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot
Learning long-term dependencies with gradient descent is difficult
inferredcites →https://doi.org/10.1109/72.548162openalex-snapshot
Learning long-term dependencies in NARX recurrent neural networks
inferredcites →https://doi.org/10.1109/ijcnn.1999.832606openalex-snapshot
Training multi-loop networks
inferredcites →https://doi.org/10.1109/isap.2005.1599244openalex-snapshot
Differential Evolution, an Alternative Approach to Evolutionary Algorithm
inferredcites →https://doi.org/10.1109/tmtt.2022.3216864openalex-snapshot
High-Order Deep Recurrent Neural Network With Hybrid Layers for Modeling Dynamic Behavior of Nonlinear High-Frequency Circuits
inferredcites →https://doi.org/10.1145/3321707.3321817openalex-snapshot
Deep neuroevolution of recurrent and discrete world models
inferredcites →https://doi.org/10.1145/3449726.3463196openalex-snapshot
Neuroevolution of recurrent neural networks for time series forecasting of coal-fired power plant operating parameters
inferredcites →https://doi.org/10.1162/106365602320169811openalex-snapshot
Evolving Neural Networks through Augmenting Topologies
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1177/105971239200100105openalex-snapshot
Evolving Dynamical Neural Networks for Adaptive Behavior
inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot
Finding Structure in Time
inferredcites →https://doi.org/10.3390/math8010069openalex-snapshot
Differential Evolution for Neural Networks Optimization
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