Estimation method of network availability with convolutional neural networks

This paper proposes an estimation method of network availability with convolutional neural networks (CNN). CNN is currently used in many research fields due to its great performance. The proposed method utilizes CNN to estimate the network availability, which represents the strength against link failures. In general, we need much time to calculate the network availability because we should consider all combinations of link failures. The proposed method can estimate the network availability in a short time by using weighted adjacency matrices of nodes as input data to CNN. In this paper, we demonstrate the basic performance of the proposed method through numerical experiments.