The proposed spatio-temporal RBF network reduces, by its own equations, to a standard RBF with reindexed hidden units, making the reported accuracy gain an artifact of hyperparameter choices rather than a new architecture.
A novel fractional gradient-based learning algorithm for recurrent neural networks,
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Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks
The proposed spatio-temporal RBF network reduces, by its own equations, to a standard RBF with reindexed hidden units, making the reported accuracy gain an artifact of hyperparameter choices rather than a new architecture.