Analysis and Control of Behavior of Insect by Artificial Neural Network

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The qualitative characteristics of the behavior of insects and the precise structure of the external skeleton which generates the motion of insects are getting clearer by the progress of the method of observation and measurement. On the other hand, the research on the central neural system in the emergence of the behavior and the control mechanism of it is also being conducted actively.In this research, the neural mechanism of the behavior emergence was successively constructed in the control system of the mobile robot with learning process. As the model system, the neural system of the silk worm moth was selected. The number of neural cells of the silk worm moth is small and very suitable as the model.Kanzaki has conducted research on the central neuro-mechanism for the behavior emergence and its control system from standing point of the neurophysiology, the histology and the behavioral science for long time. Especially he was much interested in the fixed behavior (zig zag and rotation motion) of the male silk worm moth to approach the female moth sensing female moth pheromone.Miura and Shimoyama have developed the wheeled mobile robot which pursue the female moth pheromone. In this robot, two very small parts (5mm length) of the antenna cut from the real male moth are used as sensors of pheromone. By generic algorithm, the robot learned the above mentioned fixed behavior of the silk worm moth.