Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Analysis of a Nature Inspired Firefly Algorithm based Back-propagation
  Neural Network Training   Optimization algorithms are normally influenced by meta-heuristic approach.
In recent years several hybrid methods for optimization are developed to find
out a better solution. The proposed work using meta-heuristic Nature Inspired
algorithm is applied with back-propagation method to train a feed-forward
neural network. Firefly algorithm is a nature inspired meta-heuristic
algorithm, and it is incorporated into back-propagation algorithm to achieve
fast and improved convergence rate in training feed-forward neural network. The
proposed technique is tested over some standard data set. It is found that
proposed method produces an improved convergence within very few iteration.
This performance is also analyzed and compared to genetic algorithm based
back-propagation. It is observed that proposed method consumes less time to
converge and providing improved convergence rate with minimum feed-forward
neural network design.

15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom