搜索资源列表
yongfenjishenjingwangluoxuexijiqirendedonglixueted
- 摘要：给出了解决机器人控制问题一种神经网络方法。使用一个分级神经网络(NN)结构学习刚体机器人动力学特点。对于一般类别的机械手，使用前训练一系列的三层前馈网络模块，然后把这些基函数实时地用于第四层。使用线性控制原理，辅以非线性补偿控制机械手，使学得的机械手动力学知识创建一个在整个工程中高速控制机械手的控制器。模拟结果表明控制器的性能得到了大大提高。-Abstract: This paper presents a solution to the issue of robot control neu
CNNcharacterrecog
- This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot na
acmaac11r
- 人工神经网络中cmac网络应应用于机器人手臂控制的算法研究 -Cmac network should be applied to the robot arm control algorithm of artificial neural networks
RFZ2o
- 神经网络机器人避障matlan仿真程序可模拟机器器人在空间的避障动作 ，经测试可直接使用。 -The neural network robot obstacle avoidance matlan simulation program can simulate the machine control space to avoid this obstacle has been tested and can be used directly.
shunting-of-single-robot
- 本程序采用最新的生物刺激神经网络编程，充分利用智能机器人的导航功能，程序完整-This program uses the latest biostimulation neural network programming to take full advantage of the intelligent robot navigation function, the integrity of the process
mccullotch-pitt-matlab-code
- The following Matlab project contains the source code and Matlab examples used for neural network (mlp) robot localization. Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data.
机器人神经网络自适应控制
- 在Matalb中进行机器人控制仿真程序——机器人神经网络自适应控制(Robot neural network adaptive control in Matlab)