Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Taylor-based Optimized Recursive Extended Exponential Smoothed Neural
  Networks Forecasting Method   A newly introduced method called Taylor-based Optimized Recursive Extended
Exponential Smoothed Neural Networks Forecasting method is applied and extended
in this study to forecast numerical values. Unlike traditional forecasting
techniques which forecast only future values, our proposed method provides a
new extension to correct the predicted values which is done by forecasting the
estimated error. Experimental results demonstrated that the proposed method has
a high accuracy both in training and testing data and outperform the
state-of-the-art RNN models on Mackey-Glass, NARMA, Lorenz and Henon map
datasets.

13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
19
The categories of this paper are: eess
2
The categories of this paper are: math
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph