搜索资源列表
Artificial-Neural-Network-training-Model
- BP人工神经网络三层数据训练程序兼各代码的说明-BP ANN three-tier data and training procedures of the code of the
ANN-PID
- 神经网络PID控制算法仿真实例,有很好的参考价值-Neural network PID control algorithm simulation example, has a very good reference value
ANN
- 文件中包含某老师关于人工神经网络控制系统的PPT，较详细的介绍了人工神经网络及应用于控制的相关内容。-File contains a teacher on the artificial neural network control system of PPT, a more detailed introduction to the artificial neural network and applied to the control
ANN-pid
- 基于BP神经网络的pid控制的源代码注释-the source code comments on BP based PID Control
ann
- 模糊控制模块的应用以及简单矩阵实例运用和分析-Application of fuzzy control module and a simple example of the use and analysis of matrix
Neural_Control
- 首先介绍人工神经网络的基本概念和ANN 的特性，以及神经网络的学习方法。然后讲授典型的前向神经网络、反馈神经网络的原理、结构、基本算法，给出了BP 网络的算法改进。最后介绍了神经网络PID 控制。-First introduces the basic concepts of artificial neural networks and the characteristics of ANN, and the neural network
ANN-DFIG
- Control of a doubly fed induction genartor using an artificial neural networks.
ANN-DFIM-Youcef
- Control of doubly fed induction wind turbine with an artificial neural networks ANN.
ANN-to-control-the-algorithm
- 基于BP神经网络的PID控制，利用神经网络的自学习、非线性和不依赖模型等特性实现PID参数的在线自整定，充分利用PID和神经网络的优点。-BP neural network based PID control, self-learning neural network, nonlinear and non-dependent model and other characteristics to achieve PID parameter
Fusion-of-Neural-Networks--Fuzzy-Systems-and-Gene
- The past two decades have seen an explosion of renewed interest in the areas of Artificial Intelligence and Information Processing. Much of this interest has come about with the successful demonstration of real-world
model-1
- PERFORMANCE OF ANN BASED INDIRECT VECTOR CONTROL INDUCTION MOTOR DRIVE
pid
- 人工神经网络(Artificial Neural Network)是从生理角度对智能的模拟，具有极 高的学习能力和自适应能力，能够以任意精度逼近任意函数，完成对系统的仿真； 而遗传算法是对自然界生物进化过程的模拟，具有极强的全局寻优能力，这两种 算法都是当下研究较多的智能方法。将这两种方法与常规的 PID 控制相结合， 构成智能 PID 控制器，使其具有参数自整定、自适应的能力，以适应复杂环境 下的控制要求，这一思路
05728148
- ANN Based Control of Statcom for Improving Voltage Profile in Power System
5_3_8
- In This paper, the authors propose a Sensorless Direct Torque and Flux Control (DTFC) of Induction Motor (IM) using two approach intelligent techniques: Mamdani Fuzzy Logic (FL) controller is used for controlling the
ANN
- 神经网络控制是80年代以来，在人工神经网络研究取得的突破性进展基础之上，发展起来的自动控制领域的前沿学科之一-The neural network control is one of the frontier disciplines of the field of automatic control since the 1980s, achieved a breakthrough in artificial neural network
ann
- 里面包含基于RBF神经网络的PID整定和基于BP神经网络的PID整定-Adaptive PID control based on RBF Identification
IntelligentPreditiveControl
- 智能预测控制matlab实现代码，pid，预测控制，神经网络控制，模糊控制等-Intelligent predictive control matlab codes pid gpc ann control fuzzy logic control
ANN
- NARMA-L2 configuration for Frequency Control in three ar3ea poer system with 3 Refrence Model Of system to train Neural Network.
danPID
- 神经网络PID 比较好用的PID控制算法，虽然不能很好的实现，但是也可以作为参考(ANN PID Neural network PID relatively easy to use PID control algorithm, although not very good to achieve, but can also be used as a reference)
Project
- ANN control of inverted pendulum