Abstract
As new field of computer intelligence research, Artificial Immune System inspired by biological immune system, provides a strong paradigm for information processing and problem solving. Artificial immune network theory is an important theory of AIS and has already wildly applied in the fields of data clustering, data analysis and robot control. This research proposes firstly to apply artificial immune network theory into risk assessment of managerial field. According to the comparability of the e-commerce risk problem and the biological immune system, presents specific model construction process relating to case study and testifies the result with data from real test.
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Liu, T., Shang, L., Hu, Z. (2010). Risk Assessment Model Based on Immune Theory. In: Zeng, Z., Wang, J. (eds) Advances in Neural Network Research and Applications. Lecture Notes in Electrical Engineering, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12990-2_12
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DOI: https://doi.org/10.1007/978-3-642-12990-2_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12989-6
Online ISBN: 978-3-642-12990-2
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