Knowledge Acquisition of Control Strategy and Tactics Using Fuzzy Neural Networks(Journal of Japan Society for Fuzzy Theory and Systems)

概要

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This paper presents a knowledge acquisition method using fuzzy neural networks (FNNs). The FNNs automatically acquire control strategy and tactics from operator's manipulating data. The acquired strategy and tactics coincide well with the operator's image of strategic and tactical aspects of his controls. Steering of a ship with a large inertia for passing through multiple gates is simulated. The FNNs extract the strategic and tactical rules from operator's steering data. A hierarchical controller, using the FNN having the strategy for generating track commands and the FNN with the tactics for steering the ship to follow the commands, is made. The hierarchical controller has a high performance in steering the ship, and the ship can pass through even untrained gate patterns.
日本知能情報ファジィ学会の論文
1992-10-15