Abstract
Neural network the number of hidden neurons for the network performance has a significant impact, usually for a specific problem, there is no way to determine a certain level in the end should be hidden together the number of neurons, the general test Way through many experiments to achieve the desired effect. The improved BP algorithm, the establishment of the BP neural network diagnostic model, tested its correct diagnosis was 100%, BP model diagnostic accuracy was 95.39%. The results show that the BP neural network suitable for solving the complex problem of disease diagnosis.
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© 2011 Springer-Verlag Berlin Heidelberg
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Xiong, W., Du, J., Shu, Q., Zhao, Y. (2011). Artificial Neural Network Based Modeling of Glucose Metabolism. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_100
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DOI: https://doi.org/10.1007/978-3-642-23756-0_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23755-3
Online ISBN: 978-3-642-23756-0
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