Urban water consumption prediction method based on GA-BP neural network

• Main Authors: WU FENGBO, LYU QIANTONG, ZHAO PAN, LIU YAO, LIU BEI, LIU ZHAOQI, FAN MENGNING
• Format: Patent
• Language: Chinese; English
• Published: 12.11.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the field of neural networks and urban water consumption prediction, in particular to an urban water consumption prediction method based on a GA-BP neural network. The methodcomprises the following steps: step 1, constructing a BP neural network structure; step 2, carrying out GA optimization on the initial weight of the BP neural network; step 3, training and predictinga GA-BP neural network; and step 4, applying the trained GA-BP neural network to prediction of urban water consumption. According to the GA-BP neural network-based urban water consumption prediction method, the difficulty of optimizing the initial weight of the neural network is overcome, and the prediction precision of analysis is improved. 本发明涉及神经网络及城市用水预测领域，特别涉及一种基于GA-BP神经网络的城市用水量预测方法。包括：步骤一、BP神经网络结构的构建；步骤二、GA优化BP神经网络初始权值；步骤三、GA-BP神经网络的训练与预测；步骤四、将训练好的GA-BP神经网络用于城市用水量的预测。本发明基于GA-BP神经网络的城市用水量预测方法，克服了优化神经网络初始权值的困难，提高了分析的预测精度。