Abstract: This paper considers comprehensively water source, water pressure,water impedance strata, and fault etc to establish a combined ANN forecast model of water inrush from coal floor by using genetic algorithms to train ANN. The analysis of actual examples indicates the forecast precision of ANN trained by genetic algorithms is obviously enhanced, so that it makes the predicted result more reliable.