Parameter Experimental Analysis of the Reservoirs Observers using Echo State Network Approach
Incremental work for researchers in dynamical systems modeling, focusing on parameter tuning in reservoir computing.
The paper experimentally analyzes Echo State Network parameters and complex network types to understand their influence on performance, using the Rossler attractor as a test case.
Dynamical systems has a variety of applications for the new information generated during the time. Many phenomenons like physical, chemical or social are not static, then an analysis over the time is necessary. In this work, an experimental analysis of parameters of the model Echo State Network is performed and the influence of the kind of Complex Network is explored to understand the influence on the performance. The experiments are performed using the Rossler attractor.