Learning type position determining device

摘要

The present invention relates to a neural network system for determining a position of a mobile object such as a robot, automobile, etc., which comprises a return information processing unit for generating return information corresponding to a relative position of the mobile object from the origin in a move space according to first sensor signal from the first sensor; a sense information processing unit for generating sense information corresponding to an environment state surrounding the moblie object at the relative position according to a second sensor signal from the second sensor; and an information integrating unit for inferring return information corresponding to sense information output from the sense information processing unit after learning a correlation between the return information and the sense information, and integrating the two items of information.