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Stability of a Neural Network Model with Small-world Connections by Li, Chunguang; Chen, Guanrong is a scholarly article available to read on EtoBox.

What is Stability of a Neural Network Model with Small-world Connections about?

Small-world networks are highly clustered networks with small distances among the nodes. There are many biological neural networks that present this kind of connections. There are no special weightings in the connections of most existing small-world network models. However, this kind of simply-connected models cannot characterize biological neural networks, in which there are different weights in synaptic connections. In this paper, we present a neural network model with weighted small-world connections, and further investigate the stability of this model.

Author

Li, Chunguang; Chen, Guanrong

Published

2004

Language

EN