Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network

— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state network (ESN), the state reservoir of the SHESN is generated by natural growth rules and eventually forms a complex network with small-world, scale-free properties, and hierarchically distributed structure. We implemented a large-scale SHESN with 3,000 internal neurons and applied it to modeling the pHneutralization process. Simulation results showed the superior performance of SHESN. Furthermore, we analyzed the natural characteristics of the SHESN and discussed our growth rules and the new state reservoir from a brain functional network perspective.

• Type: Conference
• Year: 2006
• Where: IJCNN
• Authors: Zhidong Deng, Yi Zhang
• Keywords: Complex Network, Echo State Network, IJCNN 2006, State Reservoir