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Biologically-Inspired Adaptive Learning: A Near Set Approach
2007
2007 Frontiers in the Convergence of Bioscience and Information Technologies
The problem considered in this paper is how learning by machines can be influenced beneficially by various forms of learning by biological organisms. The solution to this problem is partially solved by considering considering a model of perception that is at the level of classes in a partition defined by a particular equivalence relation in an approximation space. This form of perception provides a basis for adaptive learning that has surprising acuity. Viewing approximation spaces as the
doi:10.1109/fbit.2007.39
dblp:conf/fbit/PetersSRS07
fatcat:lcsqdogjbje75mq2b775l5ecg4