Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Shape recognition of volcanic ash by simple convolutional neural network   Shape analyses of tephra grains result in understanding eruption mechanism of
volcanoes. However, we have to define and select parameter set such as
convexity for the precise discrimination of tephra grains. Selection of the
best parameter set for the recognition of tephra shapes is complicated.
Actually, many shape parameters have been suggested. Recently, neural network
has made a great success in the field of machine learning. Convolutional neural
network can recognize the shape of images without human bias and shape
parameters. We applied the simple convolutional neural network developed for
the handwritten digits to the recognition of tephra shapes. The network was
trained by Morphologi tephra images, and it can recognize the tephra shapes
with approximately 90% of accuracy.

31
The categories of this paper are: ao-sci
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
6
The categories of this paper are: astro-ph
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin