人工神经网络在黄河水环境质量评价中的应用

摘要

为准确和客观地评价地表水环境质量状况,建立了黄河水环境质量评价的BP神经网络模型.仿真结果表明:改进后的BP神经网络计算速度快、评价精度高、结果客观准确,说明用BP神经网络方法评价地表水环境质量是可行的.%In order to evaluate the surface water environment quality accurately and objectively. BP neural network model of water environment quality assessment of Yellow River is established. The result of simulation shows that the improved BP neural network model has fast calculation speed,high precision, can evaluate objectively and accurately, so the application of BP neural network in water environment quality evaluation is feasible.