Abstract
According to the property that global stiff matrix is positive definite after being adjusted and specific formation of elastomer potential energy function, linear saturated system model (LSSM) is introduced into finite element neurocomputing. Based on the neural network, a circuit implementation of an example is given and the time, error characteristic and simulation of the circuit are analysed.
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© 2004 Springer-Verlag Berlin Heidelberg
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Li, HB., Huang, HZ., Zhao, MY. (2004). Finite Element Analysis of Structures Based on Linear Saturated System Model. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_131
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DOI: https://doi.org/10.1007/978-3-540-28648-6_131
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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