  We review experimental and theoretical cross sections for electron scattering
in nitric oxide (NO) and form a comprehensive set of plausible cross sections.
To assess the accuracy and self-consistency of our set, we also review electron
swarm transport coefficients in pure NO and admixtures of NO in Ar, for which
we perform a multi-term Boltzmann equation analysis. We address observed
discrepancies with these experimental measurements by training an artificial
neural network to solve the inverse problem of unfolding the underlying
electron-NO cross sections, while using our initial cross section set as a base
for this refinement. In this way, we refine a suitable quasielastic momentum
transfer cross section, a dissociative electron attachment cross section and a
neutral dissociation cross section. We confirm that the resulting refined cross
section set has an improved agreement with the experimental swarm data over
that achieved with our initial set. We also use our refined data base to
calculate electron transport coefficients in NO, across a large range of
density-reduced electric fields from 0.003 Td to 10,000 Td.
