%0 Journal Article
%T A radial basis function artificial neural network model for water quality evaluation<br>径向基函数网络模型在水质评价中的应用
%A Guo Zong-lou
%A <br>郭宗楼
%J 浙江大学学报(农业与生命科学版)
%D 2001
%I Zhejiang University Press
%X A model for water quality evaluation is constructed by using a radial basis function artificial neural network (RBF-ANN), and trained by using a least squares estimation algorithm. The results related to water quality evaluation for a reservoir show that it is possesses reasonability, objectivity, generality and practicability on water quality evaluation by using RBF-ANN in cooperation with the RBF-LS algorithm.
%K 径向基函数
%K 人工神经网络
%K 水质评价
%K 最小二乘算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=03F54A49DE00578AA0E5DDF5BC021AA7&cid=298920A27C9BAA22346FCA384240FAA4&jid=466C05D88593309B3EB5CF34361E6426&aid=5FFE4EB391333548&yid=14E7EF987E4155E6&vid=DB817633AA4F79B9&iid=38B194292C032A66&sid=B66C5792F4740920&eid=302684F6FB4B24FF&journal_id=1008-9209&journal_name=浙江大学学报(农业与生命科学版)&referenced_num=11&reference_num=2