Spiking VGG7: Deep Convolutional Spiking Neural Network with Direct Training for Object Recognition

Spiking VGG7: Deep Convolutional Spiking Neural Network with Direct Training for Object Recognition

We propose a deep convolutional spiking neural network (DCSNN) with direct training to classify concrete bridge damage in a real engineering environment. The leaky‐integrate‐and‐fire (LIF) neuron model is employed in our DCSNN that is similar to VGG. Poisson encoding and con-volution encoding strate...

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Bibliographic Details
Main Authors: Jiang, S. (Author), Liu, X. (Author), Xiang, S. (Author), Yu, L. (Author), Zhang, T. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
bridge damage detection
deep convolutional spiking neural networks
surrogate gradient
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