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College emergency management is an important approach to maintain order and secure safety of campus. For colleges, setting up a scientific and effective evaluation model of emergency management capability is not only an important means to enhance the level of emergency management, but also the key to ensure normal operation of education. This paper proposes an improved RBF artificial neural network algorithm based on LM. This algorithm improves the compact ratio and error convergence speed of RBF neural network, and has better processing ability and higher robustness in the highly nonlinear problem-emergencies. Keywords—Emergency management capability; RBF neural network; LM error correction algorithm

Evaluation Research on Emergency Management Capability of College Accidents Based on Improved LM-RBF Neural Network