Abstract
In the study of feed-forward neural network blind equalization algorithm, three-layer BP neural network structure is usually adopted. In this paper, iterative formula of four-layer feed forward neural network blind equalization algorithm was deduced by way of adding hidden layers and computer simulations of its properties on sudden noise resistance were done. The experimental results demonstrate that three-layer and four-layer neural network have similar inhibitory action and the fault tolerance to the sudden noise, but four-layer neural network surpasses three-layer in steady-state residual error aspect.
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© 2011 Springer-Verlag Berlin Heidelberg
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Kang, Y., Zhang, L. (2011). A Study of Sudden Noise Resistance Based on Four-Layer Feed-Forward Neural Network Blind Equalization Algorithm. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23896-3_40
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DOI: https://doi.org/10.1007/978-3-642-23896-3_40
Publisher Name: Springer, Berlin, Heidelberg
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