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In this letter, we propose an improved cosmological model independent methodof determining the value of the Hubble constant $H_0$. The method usesunanchored luminosity distances $H_0d_L(z)$ from SN Ia Pantheon data combinedwith angular diameter distances $d_A(z)$ from a sample of intermediateluminosity radio quasars calibrated as standard rulers. The distance dualityrelation between $d_L(z)$ and $d_A(z)$, which is robust and independent of anycosmological model, allows to disentangle $H_0$ from such combination. However,the number of redshift matched quasars and SN Ia pairs is small (37data-points). Hence, we take an advantage from the Artificial Neural Network(ANN) method to recover the $d_A(z)$ relation from a network trained on full120 radio quasar sample. In this case, the result is unambiguously consistentwith values of $H_0$ obtained from local probes by SH0ES and H0LiCOWcollaborations. Three statistical summary measures: weighted mean$\widetilde{H}_0=73.51(\pm0.67) {~km~s^{-1}~Mpc^{-1}}$, median$Med(H_0)=74.71(\pm4.08) {~km~s^{-1}~Mpc^{-1}}$ and MCMC simulated posteriordistribution $H_0=73.52^{+0.66}_{-0.68} {~km~s^{-1}~Mpc^{-1}}$ are fullyconsistent with each other and the precision reached $1\%$ level. This isencouraging for the future applications of our method. Because individualmeasurements of $H_0$ are related to different redshifts spanning the range$z=0.5 - 2.0$, we take advantage of this fact to check if there is anynoticeable trend in $H_0$ measurements with redshift of objects used for thispurpose. However, our result is that the data we used strongly support the lackof such systematic effects.

Measurements of the Hubble constant from combinations of supernovae and radio quasars