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Advanced-algorithm-notes
- 先进算法讲义-中科大。在本讲义中,我们将着重讲述一些数学建模中常用的算法,包括神经网络算法、遗传算 法、模拟退火算法和模糊数学方法。-Advanced algorithm notes- China science and technology university.In this lecture, we will focus on talk about some mathematical modeling in common use in the algorithm, including n
yichuanjulei
- 文章中主要介绍了遗传算法和模糊聚类相结合在特征提取中选取最有特征向量,极其在故障诊断应用中的优越性。-Article introduces the genetic algorithm and the combination of fuzzy clustering in the feature extraction, select the best feature vector, most in the superiority of fault diagnosis applications.
pso
- PSO算法简单、易实现且参数较少,现已被应用于函数优化、神经网络训练、模糊系统控制以及其它遗传算法的应用领域-PSO algorithm is simple, easy to implement and less parameters, have been applied to function optimization, neural network training, fuzzy system control and other applications of genetic algorit
Advanced-algorithms
- 在本讲义中,我们将着重讲述一些数学建模中常用的算法,包括神经网络算法、遗传算法、模拟退火算法和模糊数学方法。-In this lecture, we will focus on talk about some commonly used mathematical modeling algorithms, including neural networks, genetic algorithm, simulated annealing algorithm and fuzzy mathematics
beginners-NS
- Design of a graphical interface for NS-2 Study of sensors networks with Ad-hoc support Implementation of Fuzzy controller inside Queue objects Implementation of Genetic Routing inside NS-2
Particle-algorithm
- 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation),有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究。 PSO同遗传算法类似,是一种基于叠代的优化工具。系统初始化为一组随机解,通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。 同遗传算法比较,PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化,神经网络训练
Nonlinearly-Adaptive
- :针对能够采用仿射非线性表示的含有未建模动态的SISO非线性系统,讨论了一种基于神经网络的自适应 控制方法.该方法对受控对象的已知部分.采用反馈线性化方法设计控制器,用神经网络在线补偿未建模动态及 外部干扰等引起的误差,从而实现自适应控制。对具有未建模动态的双车倒立摆设计了输出反馈自适应控制系 统.仿真表明该方法是有效的。 -A discussion is devoted to design neural network adaptive control scheme of t
AI-for-Game-Developers
- Written for the novice AI programmer, AI for Game Developers introduces you to techniques such as finite state machines, fuzzy logic, neural networks, and many others, in straightforward, easy-to-understand language, supported with code samples throu
Development-of-a-Genetic-Fuzzy-Controller-for-an-
- newest guidance law for UAV
-Adaptive-FLC-Based-on-Linguistic-Hedge-Concepts-
- Adaptive fuzzy logic controller, genetic algorithm, linguistic hedge
science
- Design of Mamdani fuzzy logic controllers with rule base minimisation using genetic algorithm
kecheng2011
- 课程设计要求 0 实验一 基于模板匹配的字符识别 1 实验二 基于C均值算法的车辆检测与跟踪 3 实验三 水果分类系统设计 5 实验四 基于遗传算法的图像歪斜校准 6 实验五 基于BP网络的函数逼近 9 实验六 空调模糊控制系统设计 -Curriculum design requires 0 Experimental one based on template matching character recognition 1 C-means algorithm
flga.tar
- fuzzy logic and genetic algorithms
30-case-studies
- MATLAB神经网络30个案例分析__读者调用案例的时候,只要把案例中的数据换成自己需要处理的数据,即可实现自己想要的网络。该书共有30个MATLAB神经网络的案例(含可运行程序),包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。-30 case studies of the MATLAB Neural Network __ readers call the case, as
Algorithme
- genetic algorithm of fuzzy logic
SPWMfuzzPIDcontrol
- 目前,有许多方法用来 研究多电机同步控制策略,本文采用的是偏差藕合控制方法,利用模糊PD作为速度 同步补偿器的控制算法,使用遗传算法来整定Por的参数范围,解决了多电机同步控 制系统中多电机速度的同步控制问题。-At present, there are many methods used to Study of the motor synchronous control strategy used in this paper is the deviation of coupli
GFCM
- 遗传算法优化模糊聚类算法,形成全部最优,克服初始值敏感问题。-By using the genetic algorithm to optimize the fuzzy clustering, form the overall convergence, contains brief code, choice, cross, the variation, FCM algorithm, etc.
Intelligent-controller
- PID控制算法简单、鲁棒性强,但其参数整定过程繁琐,整定时需要控制对象的精确数学模型,而且整定往往是针对某一种具体工况进行的,缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点,具有函数逼近功能,具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计,借助于BP算法对局部性参数进行优化,将模糊神经网络和遗传算法引入PID控制参数的整定过程,构造出一种基于模糊神经网络和遗传算法的智能PID控制器-Intelligent controller ba
Custtc_zizi_xo
- 包含神经网络算法、遗传算法法、模拟退火算法与模糊数学方法 -Contains the neural network algorithm, the genetic algorithm method, simulated annealing and fuzzy mathematical methods
2pdf
- Fuzzy adaptive search method for parallel genetic algorithm with island combination proce-Fuzzy adaptive search method for parallel genetic algorithm with island combination process