Abstract
Case-based reasoning can be a particularly useful problem solving strategy when combined with other artificial intelligence reasoning paradigms or with some other computational problem solving method. An approach is presented in which the machine learning capabilities or an artificial neural network are used to enhance the reuse of past experience in the case-based reasoning cycle. This approach has been found to be effective in the application of case-based reasoning to forecasting.
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Lees, B., Corchado, J. (1999). Integrated Case-Based Neural Network Approach to Problem Solving. In: Puppe, F. (eds) XPS-99: Knowledge-Based Systems. Survey and Future Directions. XPS 1999. Lecture Notes in Computer Science(), vol 1570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703016_11
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DOI: https://doi.org/10.1007/10703016_11
Publisher Name: Springer, Berlin, Heidelberg
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