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Application and simulation of Single Neuron PID in
- 单神经元PID在视觉伺服控制上的应用研究，已发表的论文，IE检索
SNN4ImageFeaturIPCAT2007
- Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set
NeuronCprograskill
- Neuron芯片的应用程序是用Neuron C编写的，文档详细介绍了Neuron C的编程技巧。 -Neuron Chip application is written in Neuron C, the document details the Neuron C programming skills.
rbf-tesis-diagram
- chart of rbf design, 2 input, 5 neuron in hidden layer, 1 output
neural-net
- introduction to neuron networks-introduction to neuron networks
SNN-ppt
- a spiking neuron network presentation
SNN-application
- Application examples for Spiking Neuron Network-Application examples for Spiking Neuron Network
Neuron_C_Reference_Guide
- 埃施朗公司 Lonworks 现场总线芯片 Neuron C 编程参考指南-Echelon Lonworks fieldbus chip Neuron C programming reference guide
SmartPanel_individual_control
- Document for individual control of device on smart panel which is using neuron C source code
0700013
- 基于RBF神经网络和模糊神经元控制方案, 直接驱动机器人 -Neuron Control Based on RBF Network and Fuzzy Scheme for a Direct Drive Robot
Single-Discreet-Neuron-Perceptron-Alg
- Single Discreet Neuron Perceptron Alg
homework6
- This is BP for XOR, For 2 hidden neuron
paper3
- 微弱正弦信号在有噪声的FN神经元模型中的传输特性研究-Transmission properties of weak sinusoidal signal in a noisy FN neuron model
Perceptron_Simple
- Implementation of simple neuron perceptron
wnnpaper
- 这些关于wavelet neuron network 的较好的论文，希望可以帮到大家-this materials are some referrences regarding wavelt neuron network, which are very classica and value.
zhiliucijiFI1.m
- 利用MATLAB软件对神经元hh模型的噪声刺激的I-F仿真图-describtion for neuron s model
neural
- 類神經網路理論起源於1950年代，當時科學家仿造人類大腦的組織及運作方式，開始提出稱之為「感知機」（Perceptron）的神經元模型，這是最簡單也是最早的類神經模型，感知機通常被拿來做分類器（Classifier）使用。-Neural network theory originated in the 1950s, when scientists counterfeit organization and operation of the human brain, began to make ca
Novel-Neuronal-Activation
- Feedforward neural network structures have extensively been considered in the literature. In a significant volume of research and development studies hyperbolic tangent type of a neuronal nonlinearity has been utilized. This paper dwells on the w
A Generalized Neuron Based Adaptive Power
- overview about A neural network