Abstract
It is an important solution to construct the lookout support neural network system for navigation at sea in order to raise a ship operation support level. This paper is concerned with a systematization of lookout function and with a picture recognition neural network system for a course and a type of ship estimation. The neural network topology is three-layered network, which consists of 36 units for input layer, 108 units for hidden layer and 26 units for output layer. Pictures of three-dimensional computer graphics which display ten kinds of ship design drawings are used for supervised training pictures. The summary of the results are shown below. (1) The lookout function which consists of a circumstances watch sub-function and a decision making sub-function is shown in a hierarchical block diagram. (2) Correct recognition rate of the course estimation and the type of ship estimation is 55.5% and 44.4% respectively. (3) Information of a navigational circumstance picture segmentation system building is obtained.
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