Learning type position determining device

Data processing: vehicles – navigation – and relative location – Navigation – Employing position determining equipment

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701 13, 701213, G06F 1550

Patent

active

060186968

ABSTRACT:
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.

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T. Kohonen, "The Self-Organizing Map", Proceedings of the IEEE, vol. 78, No. 9, 1990, pp. 1464-1480.
T.M. Martinetz et al., "'Neural-Gas' Network for Vector Quantization and its Application to Time-Series Prediction," IEEE Trans. on Neural Networks, vol. 4, No. 4, 1993, pp. 559-568.
B. Fritzke, "Growing Cell Structures--A Self-Organizing Network for Unsupervised and Supervised Learning", Neural Networks, vol. 7, No. 9, 1994, pp. 1441-1460.
M. T. Musavi et al., "On the Training of Radial Basis Function Classifiers", Neural Networks, vol. 5, 1992, pp. 595-603.

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