Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A novel approach to error function minimization for feedforward neural
  networks   Feedforward neural networks with error backpropagation (FFBP) are widely
applied to pattern recognition. One general problem encountered with this type
of neural networks is the uncertainty, whether the minimization procedure has
converged to a global minimum of the cost function. To overcome this problem a
novel approach to minimize the error function is presented. It allows to
monitor the approach to the global minimum and as an outcome several
ambiguities related to the choice of free parameters of the minimization
procedure are removed.

17
The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
28
The categories of this paper are: alg-geom
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
35
The categories of this paper are: mtrl-th
36
The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
23
The categories of this paper are: solv-int