Abstract
Image identification, with a mass of information computations, needs high speed and precision. The real-time and robustness of neural network accord the demands of the images identification. Aiming at the question that BP network easily to get bogged down in the partial dinky weakness, this paper proposed an improved neural network method, which can avoid the partial dinky and achieve the global minimum by adding the momentum factor in weight increment.
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© 2013 Springer-Verlag London
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Xu, Y., Liu, Z., Zhang, W. (2013). Research on Images Identification Technology Based on Neural Network. In: Du, W. (eds) Informatics and Management Science V. Lecture Notes in Electrical Engineering, vol 208. Springer, London. https://doi.org/10.1007/978-1-4471-4796-1_96
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DOI: https://doi.org/10.1007/978-1-4471-4796-1_96
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Online ISBN: 978-1-4471-4796-1
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