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chap4_1
- 本程序是对基于单神经元网络的PID智能控制来进行仿真！-the procedure is based on single neuron network of intelligent PID control for simulation!
LVQ学习矢量化算法
- LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST
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
DesignSampleNNAutopilot-Passino
- Code sale man in neuron network
single-neuron-
- 单神经元自适应网络，完成神经网络PID控制，输出采用龙格库塔法-The single neuron adaptive network
McCulloch-Pitts-Neuron
- McCulloch-Pitts Neuron
Neuron-Model
- 一个神经元模型的C编程算法，我也不知道还怎么说了-A neuron model of the C programming algorithm
Neuron-5000
- 埃施朗公司Neuron 5000 系列芯片的中文手册-Echelon' s Neuron, 5000 series chips, Chinese Manual
Single-neuron-PID
- 单神经元PID，自适应ＰＩＤ算法,可以用于PID 参数整定困难的场合.-Single neuron PID adaptive PID algorithm can be used for PID parameter tuning difficult occasions.
neuron-perceptron
- 设计单一及多个神经元的感知器、BP神经网络。文件a1.m是一个神经元，a2.m是两个神经元，test36.m是bp神经网络。 -Design of single and multiple neuron perceptron, BP neural network. The file a1.m a neurons a2.m, two neurons the test36.m bp neural networks.
single-neuron-adaptive-PID
- 用C语言实现“单神经元自适应PID控制”-Using C language to achieve the single neuron adaptive PID control
Single-Discreet-Neuron-Perceptron-Alg
- Single Discreet Neuron Perceptron Alg
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.
single-neuron-PID-control-
- 本资料包含基于Hebb学习的单神经元PID的M代码，使用改代码可以直接导入S函数中-This information contains a single neuron PID learning based on the M Hebb code, using the code can be directly imported into the S function.
neuron
- These programs are used to make a neuron that can be implemented for image processing using neural network
Self--Adjustment-of-Neuron-I
- a self-adjustment algorithm based on GAP-RBF is proposed for solving how to choose the overlap factorfor calculating neuron impact width.-In this paper, we propose a Constructive Enhancement for OS-ELM (CEOS-ELM),
Neuron
- simple Neuron struction
hhcell
- simulates simple neuron pulse propagation based on HH model
reu_paper_formatted
- Neurons in the visual cortex develop receptive fields that are sensitive to oriented features in the visual environment. However, exactly how these features develop in a self-organizing way, and how the brain learns to r
new1_1
- 混沌神经网络的单神经元模型，输出李雅普诺夫指数和a的图谱(Chaotic neuron model. Output Lyapunov as y, a as x.)