  Recently, a high technique of image processing is required to extract the
image features in real time. In our research, the tourist subject data are
collected from the Mobile Phone based Participatory Sensing (MPPS) system. Each
record consists of image files with GPS, geographic location name, user's
numerical evaluation, and comments written in natural language at sightseeing
spots where a user really visits. In our previous research, the famous
landmarks in sightseeing spot can be detected by Clonal Selection Algorithm
with Immunological Memory Cell (CSAIM). However, some landmarks was not
detected correctly by the previous method because they didn't have enough
amount of information for the feature extraction. In order to improve the
weakness, we propose the generation method of immunological memory by
Restricted Boltzmann Machines. To verify the effectiveness of the method, some
experiments for classification of the subjective data are executed by using
machine learning tools for Deep Learning.

Neural and Evolutionary Computing;Artificial Intelligence;Computer Vision and Pattern Recognition