基于蚁群径向基函数网络的地下水预测模型  

Prediction model of underground water level that combined ant colony algorithms with RBF network

作　　者：曹邦兴[1] 

机构地区：[1]广州大学松田学院,广州511370

出　　处：《计算机工程与应用》2010年第2期224-226,共3页Computer Engineering and Applications

摘　　要：提出了一种基于蚁群算法的径向基函数神经网络,用它来进行地下水位预测,既具有神经网络广泛映射能力,又具有蚁群算法全局寻优、分布式计算等特点。实验表明,蚁群算法与径向基函数神经网络相融合能达到良好的预测效果。A prediction model of underground water level that combined ant colony algorithms with radial basis function neural network is proposed.It not only has extensive mapping ability of neural network,but aslo has the advantages of global covergence and distributed computation of ant system.The experimental result indicates good performance can be obtained by neural network based on ant colony algorithms in prediction of underground water level.

关 键 词：蚁群算法 径向基函数网络 地下水位 预测 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]