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高校实验室安全评价是实验室安全管理中的薄弱环节。针对目前高校实验室安全评价缺乏较全面、合理、高效评价方法的问题,以如何能科学、客观、准确地评价高校实验室安全水平为目的,在探索BP神经网络和遗传算法理论的基础上,将二者结合,应用于高校实验室安全评价中,对基于GA-BP神经网络的高校实验室安全评价展开了研究。GA-BP网络评价模型能够在更短的时间内,达到更高的精度,收敛速度、精确性和稳定性明显优于BP网络评价模型,验证了遗传算法优化BP神经网络的合理性和高效性。
Laboratory safety assessment in colleges and universities is the weak link in laboratory safety management. Aiming at the lack of a comprehensive, reasonable and efficient evaluation method for laboratory safety assessment in universities at present, this paper, based on the exploration of the theory of BP neural network and genetic algorithm, aims at evaluating the safety level of laboratories in a scientific, objective and accurate manner. The combination of the two is applied to the laboratory safety assessment of colleges and universities, and the safety assessment of university laboratories based on GA-BP neural network is studied. GA-BP network evaluation model can achieve higher precision in a shorter period of time, the convergence speed, accuracy and stability are obviously better than the BP network evaluation model, which verifies the rationality and high efficiency of genetic algorithm to optimize BP neural network .