Improved Kohonen Feature Map Associative Memory with Refractoriness based on Area Representation

In this paper, we propose an Improved Kohonen Feature Map Associative Memory with Refractoriness based on Area Representation. This model is based on the Kohonen Feature Map Associative Memory with Refractoriness based on Area Representation. The proposed model can realize one-to-many associations of binary/analog patterns. This model has enough robustness for damaged neurons when analog patterns are memorized. Moreover, the learning speed of the proposed model is faster than that of the conventional model. We carried out a series of computer experiments and confirmed the effectiveness of the proposed model.