Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Initialization of multilayer forecasting artifical neural networks   In this paper, a new method was developed for initialising artificial neural
networks predicting dynamics of time series. Initial weighting coefficients
were determined for neurons analogously to the case of a linear prediction
filter. Moreover, to improve the accuracy of the initialization method for a
multilayer neural network, some variants of decomposition of the transformation
matrix corresponding to the linear prediction filter were suggested. The
efficiency of the proposed neural network prediction method by forecasting
solutions of the Lorentz chaotic system is shown in this paper.

13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
37
The categories of this paper are: supr-con
3
The categories of this paper are: physics
17
The categories of this paper are: q-fin
19
The categories of this paper are: eess
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
27
The categories of this paper are: comp-gas
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
8
The categories of this paper are: hep-ex