Fast Incremental Learning Algorithm using Evolutionary Logic Networks for Real-Value Inputs

In this paper, we propose a new incremental learning algorithm which uses a new type of experience to reduce the computation time without the aid of addition information. The data structure, evolutionary logic networks for real-valued inputs (ELN-R) for storing and using this experience is defined and an incremental learning algorithm for ELN-R is described. The performance of the proposed learning algorithm is tested through experiments on two-spiral problem which is selected as a benchmark problem to compare the performance of the proposed algorithm with those of other algorithms.