搜索资源列表
复件shupidwcandcontrolpid
- 单神经元PID控制的例子,用于伺服电机的调速-single neuron example PID control for the servo motor speed control
复件shupidwcandcontrolpid1psd1
- 自适应PSD神经元控制,用于伺服电机的调速度,比单神经元有跟好的鲁帮性-adaptive neural control for the servo-motor speed, a single neuron with good Lu hand
second_pid
- 基于二次型性能指标的单神经元pid控制程序-based on quadratic performance indicators single neuron pid control procedures
kongming
- 神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点 ％中间层神经元的传递函数为 tansig ％输出层有8个节点，其神经元传递函数为logsig ％训练函数采用traingdx-neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle
BPnetwork
- 用BP网络完成函数的逼近。BP网络通常有一个或多个隐层，隐层中的神经元均采用sigmoid型变换函数，输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务，其中隐层的神经元个数是5。-network to be completed by BP function approximation. BP networks usually have one or more hidden layer, hidden layer neurons are used sigmoid-ty
towBPmatlab
- 比较两个神经原网络的效率，不错的程序，有利于学习编程-compare two neuron network efficiency, good procedures and conducive to learning program
chap4_5
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制-RBF neural network-based identification of single neuron PID MRAC
chap6_3
- 单神经元PID控制器的仿真与应用实例。比较常规PID控制器，得其优缺点-single neuron PID controller simulation and application examples. Comparing Conventional PID controller, to gain advantages
bpnnet
- 用BP网络完成函数的逼近 P网络通常有一个或多个隐层，隐层中的神经元均采用sigmoid型变换函数，输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务，其中隐层的神经元个数是5。-network to be completed by BP function approximation P networks usually have one or more hidden layer, a hidden layer neurons are used sigmoid-typ
11
- 神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
modifiedPID
- 改进的单神经元自适应PID控制,权系数的再线修正不完全是根据神经网络学习原理-Improved single neuron adaptive PID control, the right to re-line coefficient amendment is not in full accordance with the principle of neural network learning
1
- 通过这个算法可以确定BP神经网络中隐层最优神经元个数-Determine the BP neural network hidden layer neuron number of optimal
ssnpr
- 基于Heeb监督的单神经元自适应PID控制器S函数程序-Heeb supervision based on single neuron adaptive PID controller function S procedures
SingleNeuralNetPIDDecoupleControllerbasedonHebbLea
- 单神经元PID多变量解藕控制，与普通的PID解藕控制具有响应速度快自适应能力强-Single neuron PID control of multivariable coupling solution, with the ordinary PID control solution lotus fast adaptive response to strong
1
- 1 学生面试问题（如何实现老师面试学生人数合理安排）。 2 人工神经元的Matlab实现。 3 JPDA算法的Matlab实现。-A student interview questions (how to achieve a reasonable number of students the teacher interview arrangements). 2 The Matlab implementation of artificial neuron. 3 JPDA algorithm
neurospiketrain
- Neuron system spike train
spiketrain2
- matlab neuron system spike tran2
nnet
- 神经网络在matlab中的使用说明书 也是新手上手的好东西-Neuron Network Architectures
Single-neuron-adaptive-pid
- 自适应神经元PID算法，此算法经过仿真验证过，好用。-Adaptive neuron PID algorithm, this algorithm through simulation, works.
hhcell
- simulates simple neuron pulse propagation based on HH model