Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ReNN: Rule-embedded Neural Networks   The artificial neural network shows powerful ability of inference, but it is
still criticized for lack of interpretability and prerequisite needs of big
dataset. This paper proposes the Rule-embedded Neural Network (ReNN) to
overcome the shortages. ReNN first makes local-based inferences to detect local
patterns, and then uses rules based on domain knowledge about the local
patterns to generate rule-modulated map. After that, ReNN makes global-based
inferences that synthesizes the local patterns and the rule-modulated map. To
solve the optimization problem caused by rules, we use a two-stage optimization
strategy to train the ReNN model. By introducing rules into ReNN, we can
strengthen traditional neural networks with long-term dependencies which are
difficult to learn with limited empirical dataset, thus improving inference
accuracy. The complexity of neural networks can be reduced since long-term
dependencies are not modeled with neural connections, and thus the amount of
data needed to optimize the neural networks can be reduced. Besides, inferences
from ReNN can be analyzed with both local patterns and rules, and thus have
better interpretability. In this paper, ReNN has been validated with a
time-series detection problem.

8
The categories of this paper are: hep-ex
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
11
The categories of this paper are: hep-lat
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
2
The categories of this paper are: math
13
The categories of this paper are: quant-ph
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg