搜索资源列表
G_R
- G_R型模糊命题逻辑系统完备的一个充分必要条件.-G_R fuzzy propositional logic system is complete, a necessary and sufficient condition.
Cbuchangfuzzyo
- 基于补偿的模糊神经网络,此程序序开发于matlab-matlab -Compensation-based fuzzy neural network, this program logic developed in Matlab-Matlab
FLC
- FUZZY CONTROL LOGIC for CAR HOVER PROE
nefcon
- it is a neuro fuzzy system logic code
doc(5)
- Fuzzy Logic Control of Squirrel Cage Induction Generator for Wind Energy Conversion
article_jee
- SPEED CONTROL OF A DUAL STATOR WINDINGS INDUCTION MACHINE USING FUZZY LOGIC CONTROLLER
PSOofFLC
- PSO of Fuzzy Logic control
forward_chainer
- It shows how the forward chaining system works, how to use it, and how to implement it quickly and easily using Prolog. A large number of expert systems
boost_fuzzzy
- Boost Converter using Fuzzy Logic
模糊控制用于机器人避障
- 智能小车是移动机器人的一种,可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物,必须对其进行路径规划?,路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有:BP人工神经网络法(Back Propagation)、机器学习(Reinforcement Learning)、以及模糊控制(Fuzzy Control)方法等。模糊技术具有人类智能的模糊性和推理能力,在路径规划中,模糊推理的应用主要体现在基于行为的导航方式上,即将机器
matlab
- 智能小车是移动机器人的一种,可通过计算机编程来实现其对行驶方向、启停以及速度的控制。要想让智能小车在行驶过程中能成功地避开障碍物,必须对其进行路径规划?,路径规划的任务是为小车规划一条从起始点到目标点的无碰路径。路径规划方法有:BP人工神经网络法(Back Propagation)、机器学习(Reinforcement Learning)、以及模糊控制(Fuzzy Control)方法等。(There are many ways on autonomous mobile robot obstac
Desktop
- 移动机器人自主避障系统的设计方法多种多样,其中基于模糊控制的机器人避障系统主要是利用模糊逻辑控制器对机器人周围环境信息进行分析和判断,并规划出一条到达目标点的无碰撞路径。该方法有着占用资源小,反应迅速,并能应对相对复杂的外部环境。本文主要以基于模糊控制原理对移动机器人避障路径规划所作的相关研究为主要内容。(There are many ways on autonomous mobile robot obstacle avoidance system designing, which bas
DC_Motor_Fuzzy
- speed control of dc motor by fuzzy logic controller that impelimetation of simulink/matlab
Fuzzy_Controller
- fuzzy logic controller is simulated in matlab simulink.
wind
- wind farm grid connection with UPQC by fuzzy logic technique_electricalmatlab
AI lung prediction
- AI lung prediction using fuzzy logic model and deep learning model