资源列表
pso-esn
- 粒子群算法与回升状态网络相结合来优化最终值。-The particle swarm algorithm rebounded state network combined to optimize the final value.
GA_esn
- 用遗传算法来优化回升状态网络训练后的最终值。-Using genetic algorithms to optimize the final value of the rebound in the state after the network training.
aca_esn
- 用蚁群算法来优化回升状态网络训练后的最终值。-Ant colony algorithm to optimize the final value of the rebound in the state after the network training.
ga-pso-aca_esn
- 用遗传粒子群蚁群混合算法来优化回升状态网络训练后的最终值。-Mixed genetic particle swarm ant colony algorithm to optimize the final value in the rebound after the state network training.
neuron
- matlab平台下对人工神经网络中的LMS等算法进行的实现-the realization of artificial neural network, the LMS algorithm matlab platform
Twowheel-carbalancecontrol
- 基于电磁原理的自主循迹的两轮小车的平衡控制方向控制及速度控制-Based on the principle of electromagnetic independent trace two wheel car balance control direction control and speed control
Sensor-network
- 计算双输入单输出的感知器网络的网络权值。参考输入输出为： x1(1)=1 x2(1)=1 d(1)=1； x1(2)=-0.5 x2(2)=-1 d(2)=-1； x1(3)=3 x2(3)=1 d(3)=1； x1(4)=-2 x2(4)=-1 d(4)=-1；-Calculation of the dual-input single-output perceptron network weights. Reference input and output: &
XOR-problem
- 建立一个含单隐层的双输入单输出网络，实现异或问题： x1(1)=0 x2(1)=1 d(1)=1 x1(2)=1 x2(2)=0 d(2)=1 x1(3)=1 x2(3)=1 d(3)=0 x1(4)=0 x2(4)=0 d(4)=0 训练出相应的网络权值矩阵W-Establish a dual-input single-output network with a single hidden layer,solve the XOR problem: x1
simulate-trigonometric-function
- 建立一个单输入但输出的三层神经网络，模拟三角函数 y=sinx+cosx (-π<x<π) -Establish a single-input single-output three-layer neural network ,simulate the trigonometric function y = sinx+ cosx (-π <x <π)
letter_recognition
- 用一个三层的BP网络实现下列两类字母的识别问题，L字母输出为1，T字母输出为0.-use a three-layers BP network to recognize 2 types of letter,the output of L is 1,the output of T is 0.
Robot-inversion-movement
- 设计一个用于解决两关节机械手的反演运动学问题的前馈网络，要求末端执行器的运动轨迹是一条直线.-Design a feedforward network is used to solve the two-joint robot inverse kinematics problem, requirements of the end-effector trajectory is a straight line.
Fuzzy-temperature-control-system
- 设计一个模糊温度控制系统，以系统的（温度）误差与误差的变化量作为模糊控制器的输入变量，模糊控制器的输出变量为电压值， 控制器的输入变量与输出变量的模糊化等级为7。-Design a fuzzy control system to control temperature.