Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Experiments in machine learning of alpha-decay half-lives   Artificial neural networks are trained by a standard backpropagation learning
algorithm with regularization to model and predict the systematics of -decay of
heavy and superheavy nuclei. This approach to regression is implemented in two
alternative modes: (i) construction of a statistical global model based solely
on available experimental data for alpha-decay half-lives, and (ii) modeling of
the {\it residuals} between the predictions of state-of-the-art
phenomenological model (specifically, the effective liquid-drop model (ELDM))
and experiment. Analysis of the results provide insights on the strengths and
limitations of this application of machine learning (ML) to exploration of the
nuclear landscape in regions beyond the valley of stability.

0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
1
The categories of this paper are: cs
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
18
The categories of this paper are: econ
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio