Tuesday, 27 January 2009

Analysis of Continuous-Time Recurrent Neural Network

Recent year’s research shows that Continuous-Time Recurrent Neural Network (CTRNN) is important for modelling dynamic behaviour of the system. Hence detailed analysis and understanding of CTRNN is important. As such, attempt is made in this report to analyse the CTRNN equation for single node and double nodes. Basically, I would be experimenting and analysing how individual parameter of the CTRNN affects the output of the system, and I would also try to report the relationship between different parameters as well. Finally, I would be discussing the stability of the CTRNN with respect to the different values of its parameters.

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