Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A New Hybrid-parameter Recurrent Neural Networks for Online Handwritten
  Chinese Character Recognition   The recurrent neural network (RNN) is appropriate for dealing with temporal
sequences. In this paper, we present a deep RNN with new features and apply it
for online handwritten Chinese character recognition. Compared with the
existing RNN models, three innovations are involved in the proposed system.
First, a new hidden layer function for RNN is proposed for learning temporal
information better. we call it Memory Pool Unit (MPU). The proposed MPU has a
simple architecture. Second, a new RNN architecture with hybrid parameter is
presented, in order to increasing the expression capacity of RNN. The proposed
hybrid-parameter RNN has parameter changes when calculating the iteration at
temporal dimension. Third, we make a adaptation that all the outputs of each
layer are stacked as the output of network. Stacked hidden layer states combine
all the hidden layer states for increasing the expression capacity. Experiments
are carried out on the IAHCC-UCAS2016 dataset and the CASIA-OLHWDB1.1 dataset.
The experimental results show that the hybrid-parameter RNN obtain a better
recognition performance with higher efficiency (fewer parameters and faster
speed). And the proposed Memory Pool Unit is proved to be a simple hidden layer
function and obtains a competitive recognition results.

3
The categories of this paper are: physics
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
27
The categories of this paper are: comp-gas
23
The categories of this paper are: solv-int
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex