Abstract: The granitoid, quartz-diorite and quartz-monzodiorite associations of Tarik Dareh (Torbat-e Jam) and its related placers were examined by XRD, XRF, ICP-MS, RS and ANN methods. The Multispectral data (SAM method) was used for differentiating of lithological units and identification of minerals in the suite. The Envi software provided a means for classification of lithological units into 4 main groups. The geochemical studies showed the granitoid stock is peraluminous (A/CNK = 0.7-1.2) and high K calk alkaline (Na2O<K2O). The geochemical analysis and trace elements data showed I type, subduction zones and syn-collision VAG type for the granitoid stock in the area. The enrichment during differentiation of magma caused Au, Sb and W anomalous. The Artificial Neural Networks (ANN) method was developed to define favourability zones of occurrences of Au, W and Sb mineralizations and to assess the predictive power of the model. ANN results showed the most of Au anomaly (higher than 4 ppm) can be observed in inner and adjacent of quartzdiorite unit, anomaly of W (higher than 2.2 ppm) in monzogranite and syenogranite ones, but anomaly of Sb (higher than 1.2 ppm) in the quartzdiorite and monzogranite parts.

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