2 papers
stat.ML2019
Chaotic Time Series Prediction using Spatio-Temporal RBF Neural Networks
Alishba Sadiq, Muhammad Sohail Ibrahim, Muhammad Usman +2
Due to the dynamic nature, chaotic time series are difficult predict. In conventional signal processing approaches signals are treated either in time or in space domain only. Spati…
stat.ML2019
Spatio-Temporal RBF Neural Networks
Shujaat Khan, Jawwad Ahmad, Alishba Sadiq +2
Herein, we propose a spatio-temporal extension of RBFNN for nonlinear system identification problem. The proposed algorithm employs the concept of time-space orthogonality and sepa…