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xijun
- 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
Antibiotic-Therapy.pdf.tar
- List the factors that a clinician should follow to select an appropriate antimicrobial regimen. • C Compare and contrast the normal b d t d t t th l body temperature when thmeasured orally, rectally, or axillary. axillary. &#
xijunqun
- 细菌群智能计算方法，适应度函数ff可自己修改。-Bacterial Swarm Intelligence method, fitness function ff can be their own modifications.
pso_bc
- 基于细菌子粒子群的无限传感器网络的定位算法 可供大家参考-Based on the infinite positioning of the sensor network in the bacterial sub-particle swarm algorithm available reference
bcc
- 原始的细菌群趋药性优化算法，能够解决多维连续函数优化的问题，具有收敛性好，运算速度快等特点-The original group of bacterial chemotaxis optimization algorithm can solve the problem of multi-dimensional continuous function optimization, convergence, high operation speed characteristics
Optimization-Based-on-bcc
- 原始的BCC算法的文章，详细描述了细菌趋药性算法的流程和实现方式-Original article of the BCC algorithm, described in detail the process of bacterial chemotaxis algorithm and implementation
b
- 智能算法中的细菌算法的matlab源程序。运行出来的那个动态图，细菌算法的收敛速度非常快，程序也非常简单，整个流程也非常容易，适合刚接触智能算法的人学习。-The bacterial algorithm in the intelligent algorithm matlab source. Run out of dynamic map, bacteria convergence rate of the algorithm is very fast, the program is very sim
bacteria
- 智能算法中的细菌算法的matlab源程序。运行出来的那个动态图，细菌算法的收敛速度非常快，程序也非常简单，整个流程也非常容易，适合刚接触智能算法的人学习。-The bacterial algorithm in the intelligent algorithm matlab source. Run out of dynamic map, bacteria convergence rate of the algorithm is very fast, the program is very sim
bfo
- 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
A-novel-bacterial-foraging
- 一种新型细菌觅食算法 采用协搜索策略 一种新型细菌觅食算法 采用协搜索策略-A novel bacterial foraging technique for edge detection
Advanced-Bacterial-Foraging
- 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
Bacteria-algorithm
- 细菌群体趋药性算法同时使用单个细菌在引诱剂环境下的应激反应动作和细菌群体间的位置信息交互来进行函数优化.-Bacterial colony chemotaxis algorithm using both information exchange position of the individual bacterial stress response action and the bacterial population in the environment between attractant
Bacterial-Foraging-Computer-Program
- 细菌觅食MATLAB算法，可以直接运行，推荐推荐-Bacterial foraging MATLAB algorithms can be run directly, recommended recommended