Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
In this thesis, it proposes the sensibility retrieval model to imitate user's sensibility by using the neural net work. The neural net work is a system that models the function of the brain, and the output part is assumed to be stimulation to which the person received the input part of the neural net work corresponding to feelings when the person receives the stimulation. It optimizes it to the relation to feelings to stimulation and the stimulation that the user received the I/O relation of the neural net work by adjusting the uniting gaining the weight of the neural net work.
