Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Multilayer Neural Network Merging Image Preprocessing and Pattern
  Recognition by Integrating Diffusion and Drift Memristors   With the development of research on novel memristor model and device, neural
networks by integrating various memristor models have become a hot research
topic recently. However, state-of-the-art works still build such neural
networks using drift memristor only. Furthermore, some other related works are
only applied to a few individual applications including pattern recognition and
edge detection. In this paper, a novel kind of multilayer neural network is
proposed, in which diffusion and drift memristor models are applied to
construct a system merging image preprocessing and pattern recognition.
Specifically, the entire network consists of two diffusion memristive cellular
layers for image preprocessing and one drift memristive feedforward layer for
pattern recognition. Experimental results show that good recognition accuracy
of noisy MNIST is obtained due to the fusion of image preprocessing and pattern
recognition. Moreover, owing to high-efficiency in-memory computing and brief
spiking encoding methods, high processing speed, high throughput, and few
hardware resources of the entire network are achieved.

8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
7
The categories of this paper are: hep-th
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
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The categories of this paper are: q-fin
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The categories of this paper are: econ
37
The categories of this paper are: supr-con