<p>CP-ANN technique was used to build 54 different QSAR models. The models were built for three sets (assays) of fluo-roquinolones considering their antituberculosis activity and using different technical parameters (dimension of network and number of learning epochs). The models served as a reliable basis for ranking by a new powerful method based on sum of ranking differences (SRD). With the applied SRD procedure we can find the optimal ones. The best model can be selected easily for the first assay. Two models can be recommended for the second assay, and no recommended mo-del was found for the assay3.</p
