Parameter Experimental Analysis of the Reservoirs Observers using Echo State Network Approach

TL;DR

This paper conducts an experimental analysis of Echo State Network parameters and explores how different complex network types influence performance, using the Rossler attractor as a test case.

Contribution

It provides new insights into how parameter choices and network structures affect Echo State Network performance in dynamical system analysis.

Findings

Parameter settings significantly impact performance

Type of complex network influences results

Rossler attractor used for validation

Abstract

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.