Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: AIS: A nonlinear activation function for industrial safety engineering   In the task of Chinese named entity recognition based on deep learning,
activation function plays an irreplaceable role, it introduces nonlinear
characteristics into neural network, so that the fitted model can be applied to
various tasks. However, the information density of industrial safety analysis
text is relatively high, and the correlation and similarity between the
information are large, which is easy to cause the problem of high deviation and
high standard deviation of the model, no specific activation function has been
designed in previous studies, and the traditional activation function has the
problems of gradient vanishing and negative region, which also lead to the
recognition accuracy of the model can not be further improved. To solve these
problems, a novel activation function AIS is proposed in this paper. AIS is an
activation function applied in industrial safety engineering, which is composed
of two piecewise nonlinear functions. In the positive region, the structure
combining exponential function and quadratic function is used to alleviate the
problem of deviation and standard deviation, and the linear function is added
to modify it, which makes the whole activation function smoother and overcomes
the problem of gradient vanishing. In the negative region, the cubic function
structure is used to solve the negative region problem and accelerate the
convergence of the model. Based on the deep learning model of BERT-BiLSTM-CRF,
the performance of AIS is evaluated. The results show that, compared with other
activation functions, AIS overcomes the problems of gradient vanishing and
negative region, reduces the deviation of the model, speeds up the model
fitting, and improves the extraction ability of the model for industrial
entities.

7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
26
The categories of this paper are: bayes-an
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int