Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Improved Gauss-Newtons Method based Back-propagation Algorithm for
  Fast Convergence   The present work deals with an improved back-propagation algorithm based on
Gauss-Newton numerical optimization method for fast convergence. The steepest
descent method is used for the back-propagation. The algorithm is tested using
various datasets and compared with the steepest descent back-propagation
algorithm. In the system, optimization is carried out using multilayer neural
network. The efficacy of the proposed method is observed during the training
period as it converges quickly for the dataset used in test. The requirement of
memory for computing the steps of algorithm is also analyzed.

13
The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
4
The categories of this paper are: cond-mat
18
The categories of this paper are: econ
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con