改进的BP神经网络在铀矿冶设施水环境评价中的应用

Application of the Improved BP Neural Network in Fuzzy Comprehensive Evaluation of Water Environmental Quality of the Decommissioned Uranium Mining and Miling Facilities

铀矿冶设施退役水环境评价的本质是一个模式识别问题。本文在充分分析遗传算法和BP神经网络的基础上,利用遗传算法改进BP神经网络建立了评价模型,并将其应用于铀矿冶设施退役水环境评价中。结果表明,改进后的BP神经网络能够很好的适用于铀矿冶设施退役水环境评价。

Environmental assessment of the nature of water in the decommissioned uranium mining and milling facilities is a problem of pattern recognition. In this paper, we build a new model on BP neural network to give a comprehensive evaluation to the water environmental quality of the decommissioned uranium mining and milling facilities, which is improved by Genetic Algorithm, is the results indicate that the improved BP neural net-work has great application value in evaluating water environment.