A plant modeling with a fuzzy associative memory system

Summary form only given. An attempt was made to demonstrate a useful qualitative model using causal concepts for modeling the operations of a physical plant. In order to control and monitor plants, support based on the intuitive, qualitative perspective of causal relations becomes important, along with the usual numerical, logical approach. This goal is realized by using a qualitative model, summarized instances and associative memories. Using a network model as a knowledge representation of the qualitative model, plant modeling is implemented by a fuzzy associative memory system called FAMOUS (Fuzzy Associative Memory Organizing Units System). The proposed modeling has three features: (1) the intuition of experts can be inferred by feedback associative memory, (2) the degree of influence of fuzzy causal relations can be clarified by a differential Hebbian learning rule; and (3) information having human-friendliness can be expressed. The authors have applied FAMOUS to the qualitative model to an object plant