In collaboration with Payame Noor University and Iranian Society of Instrumentation and Control Engineers
Stable Rough Extreme Learning Machines for the Identification of Uncertain Continuous-Time Nonlinear Systems

Ghasem Ahmadi

Volume 4, Issue 1 , July 2019, , Pages 83-101

https://doi.org/10.30473/coam.2020.51511.1137

Abstract
  ‎Rough extreme learning machines (RELMs) are rough-neural networks with one hidden layer where the parameters between the inputs and hidden neurons are arbitrarily chosen and never updated‎. ‎In this paper‎, ‎we propose RELMs with a stable online learning algorithm for the identification ...  Read More

Control and Optimization
A Higher Order Online Lyapunov-Based Emotional Learning for Rough-Neural Identifiers

Ghasem Ahmadi; Mohammad Teshnehlab; Fahimeh Soltanian

Volume 3, Issue 1 , July 2018, , Pages 87-108

https://doi.org/10.30473/coam.2019.40779.1083

Abstract
  o enhance the performances of rough-neural networks (R-NNs) in the system identification‎, ‎on the base of emotional learning‎, ‎a new stable learning algorithm is developed for them‎. ‎This algorithm facilitates the error convergence by increasing the memory depth of R-NNs‎. ...  Read More