<p>The incineration process is adopted when handling urban solid waste (USW). Due to this, ash is generated, known as urban solid waste ash (USWA). USWA can be utilized in bulk in the construction of geotechnical structures. The performance of USWA can be improved by adding admixtures such as cement and fiber. In this study, two different mathematical models were developed to predict the strength behavior, specifically the unconfined compressive strength (UCS) and split tensile strength (STS) of USWA mixed with cement and fiber, based on Artificial Neural Networks (ANNs). For this purpose, data from UCS and STS were used as dependent variables. USWA content, Fiber content (FC), Aspect ratio (AR) of fiber, cement content (CC), and curing period (CP) were considered independent variables. R² value during data validation was 0.9961 and 0.9985 for UCS and STS, respectively.</p>