Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Approximate Probabilistic Neural Networks with Gated Threshold Logic   Probabilistic Neural Network (PNN) is a feed-forward artificial neural
network developed for solving classification problems. This paper proposes a
hardware implementation of an approximated PNN (APNN) algorithm in which the
conventional exponential function of the PNN is replaced with gated threshold
logic. The weights of the PNN are approximated using a memristive crossbar
architecture. In particular, the proposed algorithm performs normalization of
the training weights, and quantization into 16 levels which significantly
reduces the complexity of the circuit.

15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
14
The categories of this paper are: math-ph
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
0
The categories of this paper are: hep-ph