  We review experimental and theoretical cross sections for electron transport
in $\alpha$-tetrahydrofurfuryl alcohol (THFA) and, in doing so, propose a
plausible complete set. To assess the accuracy and self-consistency of our
proposed set, we use the pulsed-Townsend technique to measure drift velocities,
longitudinal diffusion coefficients and effective Townsend first ionisation
coefficients for electron swarms in admixtures of THFA in argon, across a range
of density-reduced electric fields from 1 Td to 450 Td. These measurements are
then compared to simulated values derived from our proposed set using a
multi-term solution of Boltzmann's equation. We observe discrepancies between
the simulation and experiment, which we attempt to address by employing a
neural network model that is trained to solve the inverse swarm problem of
unfolding the cross sections underpinning our experimental swarm measurements.
What results from our neural network-based analysis is a refined set of
electron-THFA cross sections, which we confirm is of higher consistency with
our swarm measurements than that we initially proposed. We also use our data
base to calculate electron transport coefficients in pure THFA, across a range
of reduced electric fields from 0.001 Td to 10,000 Td.
