Abstract
Designing suitable case retrieval mechanisms in case base reasoning can amount to a significant knowledge engineering task. Time pressures, lack of domain knowledge, and high-dimensional, incomplete, and inconsistent case descriptions often add to the problem. This chapter presents a neural and a genetic learning approach to the automated construction of case retrieval structures.
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Dubitzky, W., Azuaje, F. (2001). A Genetic Algorithm and Growing Cell Structure Approach to Learning Case Retrieval Structures. In: Pal, S.K., Dillon, T.S., Yeung, D.S. (eds) Soft Computing in Case Based Reasoning. Springer, London. https://doi.org/10.1007/978-1-4471-0687-6_6
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DOI: https://doi.org/10.1007/978-1-4471-0687-6_6
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