基于T—S模型的模糊神经网络不但具有模糊逻辑和神经网络两者的优点,又具有很好的学习能力。将基于T—S模型的模糊神经网络的信息融合算法应用在赤潮的预测预警中,研究各种理化因子与赤潮藻类浓度间非线性对应规律和有效预测赤潮藻类浓度。仿真实验表明这种方法具有有效的赤潮预测预警功能。
T-S fuzzy neural network not only has the advantage of fuzzy logic and the neural networks, but also has good learning ability. This paper presents a fusion method for T-S fuzzy neural networks to prediction of red tide. The nonlinear relationships between PTCA (Physical Testing and Chemical Analysis) factor and denseness of red tide algae are studied and the denseness of red tide algae is researched. The experiment indicates that the method which is used in red tide prediction is practicable and effective.