IFAM, weight matrix, sparse matrix, implicative fuzzy associative memory

The implicative fuzzy associative memories (IFAM) is a tool used to store patterns in a database and to recall desired pattern upon a presentation. The original IFAM model has been later updated to simplify the weight matrix construction. As a result of this improvement, model internally contains only significant values. This article describes how sparse matrix used to capture model's weight matrix can be used to reduce memory-space consumption.