Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Diagnostic Rule Extraction Using Neural Networks   The neural networks have trained on incomplete sets that a doctor could
collect. Trained neural networks have correctly classified all the presented
instances. The number of intervals entered for encoding the quantitative
variables is equal two. The number of features as well as the number of neurons
and layers in trained neural networks was minimal. Trained neural networks are
adequately represented as a set of logical formulas that more comprehensible
and easy-to-understand. These formulas are as the syndrome-complexes, which may
be easily tabulated and represented as a diagnostic table that the doctors
usually use. Decision rules provide the evaluations of their confidence in
which interested a doctor. Conducted clinical researches have shown that
iagnostic decisions produced by symbolic rules have coincided with the doctor's
conclusions.

35
The categories of this paper are: mtrl-th
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
33
The categories of this paper are: plasm-ph
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
3
The categories of this paper are: physics
21
The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
22
The categories of this paper are: chao-dyn