基于GRNN神经网络的蒸汽平衡预测

Steam Equilibrium Prediction based on GRNN Neural Network

针对大型化工企业蒸汽的生产、消耗平衡难以预测的问题,提出用GRNN神经网络进行预测的方法。采用实际生产过程中蒸汽产量、消耗量的原始数据,用MATLAB软件编程,根据蒸汽消耗量运用GRNN神经网络对蒸汽供应量进行模拟仿真;仿真效果较好,在实际中有广泛的应用前景。

The steam production and consumption balance in large chemical enterprises was difficult to predict, so a method forprediction using GRNN neural network was proposed. Using a large number of original data of steam production and consumption inthe process of actual production, MATLAB software programming, according to the steam consumption, GRNN neural network wasused to simulate the steam supply. The simulation result was good, and it had a broad application prospect in practice.