Abstract
Since Agent based model (ABM) can describe the biological system in detail, it is broadly used for multi-scale immune system modeling. However, ABM requires such a high computing cost for the large scale biological modeling that prevents us employing it for the real time system simulation. For this reason, this study develops an orthogonal polynomial based model to approximate solution of ABM, which can obtain low computing cost and high approximating accuracy.
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Tong, X., Kong, M., Mudzingwa, E.T., Zhang, L. (2015). Developing a Novel Method Based on Orthogonal Polynomial Equation to Approximate the Solution of Agent Based Model for the Immune System Simulation. In: Zhang, S., Wirsing, M., Zhang, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2015. Lecture Notes in Computer Science(), vol 9403. Springer, Cham. https://doi.org/10.1007/978-3-319-25159-2_76
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DOI: https://doi.org/10.1007/978-3-319-25159-2_76
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