Abstract
The method of the direct application of an artificial neural network for modelling of a complex system is developed with the purpose of speeding up the optimisation procedure for determination of system parameters. The method provides a significant decrease in simulation time. Moreover the artificial neural network produces a smooth approximation of stochastic simulation results and consequently it reduces the level of stochastic errors. The developed algorithm is applied to model the fluorescence resonance energy transfer within a system of M13 major coat protein mutants embedded in a membrane.
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© 2003 Springer-Verlag Berlin Heidelberg
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Nazarov, P.V., Apanasovich, V.V., Lutkovski, V.M., Hemminga, M.A., Koehorst, R.B.M. (2003). Neural Network Simulation of Energy Transfer Processes in a Membrane Protein System. In: Rutkowski, L., Kacprzyk, J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1902-1_137
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DOI: https://doi.org/10.1007/978-3-7908-1902-1_137
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-0005-0
Online ISBN: 978-3-7908-1902-1
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