Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Deep Neuro-Fuzzy Network for Image Classification   The combination of neural network and fuzzy systems into neuro-fuzzy systems
integrates fuzzy reasoning rules into the connectionist networks. However, the
existing neuro-fuzzy systems are developed under shallow structures having
lower generalization capacity. We propose the first end-to-end deep neuro-fuzzy
network and investigate its application for image classification. Two new
operations are developed based on definitions of Takagi-Sugeno-Kang (TSK) fuzzy
model namely fuzzy inference operation and fuzzy pooling operations; stacks of
these operations comprise the layers in this network. We evaluate the network
on MNIST, CIFAR-10 and CIFAR-100 datasets, finding that the network has a
reasonable accuracy in these benchmarks.

15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
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The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
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The categories of this paper are: q-fin
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The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex