32 citations · 76 across the 25 of their papers we have counts for
3 papers · 1 filter
Evolving Spiking Neural Networks for Nonlinear Control Problems
Huanneng Qiu, Matthew Garratt, David Howard +1
Spiking Neural Networks are powerful computational modelling tools that have attracted much interest because of the bioinspired modelling of synaptic interactions between neurons.…
Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems
Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt
This paper depicts a brief revision of Generalized Regression Neural Networks (GRNN) applications in system identification and control of dynamic systems. In addition, a comparison…
PALM: An Incremental Construction of Hyperplanes for Data Stream Regression
Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti +1
Data stream has been the underlying challenge in the age of big data because it calls for real-time data processing with the absence of a retraining process and/or an iterative lea…