Abstract：Acoustic emission(AE) in rock specimen was tested under loading and breakage，and AE in rock engineering was surveyed. Action laws of AE in rock mass were researched with chaotic kinetics，and chaotic attractors of AE in different stages were calculated during deformation and breakage in rock engineering. By coupling chaos with neural network，a prediction model of AE was established. According to characteristics of AE in different stages，an intelligent identification model for analyzing stability in rock engineering was created. Research results show that there are four different stages in AE activities，i. e.，stable period，earlier active period，intensely active period，and reversal period. Breakage occurs in the reversal period with abnormal AE and diminishing value of chaotic attractor. In-situ case verifies that chaotic kinetics can reflect the characteristics of and the intelligent identification model proposed in this paper is able to predict and analyze stability in rock engineering，especially in deep mining.
