Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: X-TREPAN: a multi class regression and adapted extraction of
  comprehensible decision tree in artificial neural networks   In this work, the TREPAN algorithm is enhanced and extended for extracting
decision trees from neural networks. We empirically evaluated the performance
of the algorithm on a set of databases from real world events. This benchmark
enhancement was achieved by adapting Single-test TREPAN and C4.5 decision tree
induction algorithms to analyze the datasets. The models are then compared with
X-TREPAN for comprehensibility and classification accuracy. Furthermore, we
validate the experimentations by applying statistical methods. Finally, the
modified algorithm is extended to work with multi-class regression problems and
the ability to comprehend generalized feed forward networks is achieved.

33
The categories of this paper are: plasm-ph
35
The categories of this paper are: mtrl-th
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
23
The categories of this paper are: solv-int
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
18
The categories of this paper are: econ
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys