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Backpropagation in accuracy-based neural learning classifier systems (2007)
Book Chapter
O'Hara, T., & Bull, L. (2007). Backpropagation in accuracy-based neural learning classifier systems. In J. Bacardit, E. Bernadó-Mansilla, M. V. Butz, T. Kovacs, X. Llorà, & K. Takadama (Eds.), Learning Classifier Systems (25-39). Springer Verlag. https://doi.org/10.1007/978-3-540-71231-2_3

Learning Classifier Systems traditionally use a binary string rule representation with wildcards added to allow for generalizations over the problem encoding. We have presented a neural network-based representation to aid their use in complex problem... Read More about Backpropagation in accuracy-based neural learning classifier systems.