Learning of Neural Network on Automatic Counting of Chlorella

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  • クロレラ自動計数方式におけるニューラルネットワーク学習

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In this paper, an automatic counting of chlorella using neural network(NN) is described. In the culture of marine chlorella, it is necessary to count the number in order to understand the condition of increase. The automatic counting method of chlorella, using image processing and NN, was proposed. This NN is three-layerd and uses Back Propogation as learning method. This paper describes the study on the increase of the differential learning data of the NN on the recognition rate of chlorella. Experiments are the first case on the increase or decrease of the number of the usual learning data, the second case on the increase or decrease of the number of the new learning data, and the third case on learning using the extracted data from the counted images in experiment.

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