Abstract
In this paper, we propose a saturation binary neuron model and use it to construct a Hopfield-type neural network called saturation binary neural network to solve the bipartite sub-graph problem. A large number of instances have been simulated to verify the proposed algorithm, with the simulation result showing that our algorithm finds the solution quality is superior to the compared algorithms.
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Zhang, C., Zhao, LQ., Wang, RL. (2012). A Saturation Binary Neural Network for Bipartite Subgraph Problem. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_10
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DOI: https://doi.org/10.1007/978-3-642-24553-4_10
Publisher Name: Springer, Berlin, Heidelberg
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