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Shape analyses of tephra grains result in understanding eruption mechanism ofvolcanoes. However, we have to define and select parameter set such asconvexity for the precise discrimination of tephra grains. Selection of thebest parameter set for the recognition of tephra shapes is complicated.Actually, many shape parameters have been suggested. Recently, neural networkhas made a great success in the field of machine learning. Convolutional neuralnetwork can recognize the shape of images without human bias and shapeparameters. We applied the simple convolutional neural network developed forthe handwritten digits to the recognition of tephra shapes. The network wastrained by Morphologi tephra images, and it can recognize the tephra shapeswith approximately 90% of accuracy.

Shape recognition of volcanic ash by simple convolutional neural network