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complex_pump_0_02
- 介绍如何用较复杂的方法去优化对负载具有感知特性的“黑匣子”模型的神经网络控制。-Shows how to use the complex method to optimize a black-box neural network model of a load-sensing
changguipid
- 常规PID解耦控制器实现的国产某300MW直流燃煤机组解耦控制-Conventional PID controller to achieve decoupling of the DC made a 300MW coal-fired units Decoupling Control
CHAPTER1
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制 -Based on RBF Neural Network Identification of single neuron PID model reference adaptive control based on RBF Neural Network Identification of single neuron PID model reference adaptive control
MOptimizationa
- Matlab粒子群算法优化RBF网络采用了粒子群算法对RBF神经网络中的参数进行了优化，，在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强 -Matlab particle swarm algorithm to optimize the RBF network using particle swarm optimization of parameters in RBF neural network optimized, verified in a t
matlab--k
- matlab 通用神经网络代码，很不错，值得-generic neural network matlab code, very good, worth a look
fpga_code
- 神经网络ELM的vhdl实例，该算法权值已在matlab上训练好，实际就充当一个硬件分类器-Vhdl examples ELM neural network, which is a good weight algorithm has been trained on matlab, actually acts as a hardware classifier
matlab 模糊神经网络代码
- 用于matlab神经网络的预测，可以更加便捷的处理相关数据，对已有数据进行预测。(Artificial neural network prediction based on MATLAB)