本文提出了一种新的基于细菌生存优化(Bacterial Foraging Optimization –BFO)的非线性模型辨识方法。它是利用群集智能仿生BFO算法对一类Hammerstein系统进行辨识，从而估计出它的参数模型-This paper presents a new optimization based on bacterial survival (Bacterial Foraging Optimization-BFO) nonlinear model identification

细菌觅食优化算法，应用方便，算是一种比较新的优化算法-Bacterial foraging optimization algorithm, easy application, regarded as a relatively new optimization algorithm

改进的细菌觅食算法 能较好的改善原来的缺点 -A new co-bacterial foraging algorithm search strategy