Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent
  Solubility in Supercritical CO$_2$   In the present work, a novel and the robust computational investigation is
carried out to estimate solubility of different acids in supercritical carbon
dioxide. Four different algorithms such as radial basis function artificial
neural network, Multi-layer Perceptron (MLP) artificial neural network (ANN),
Least squares support vector machine (LSSVM) and adaptive neuro-fuzzy inference
system (ANFIS) are developed to predict the solubility of different acids in
carbon dioxide based on the temperature, pressure, hydrogen number, carbon
number, molecular weight, and acid dissociation constant of acid. In the
purpose of best evaluation of proposed models, different graphical and
statistical analyses and also a novel sensitivity analysis are carried out. The
present study proposed the great manners for best acid solubility estimation in
supercritical carbon dioxide, which can be helpful for engineers and chemists
to predict operational conditions in industries.

25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex