搜索资源列表
NNFunctions
- NN Functions a program in Lisp to demonstrate working of an artificial neuron. (Enter an input vector X and weight vector W. Calculate weighted sum XW. Transform this using signal or activation functions like logistic, threshold, hyperbolic-tangent
Neuron
- Implementation of neuron of MTP neural network.
shenjingyuanmoxing
- 神经元模型 学习 重新学习 实践新模型 演示已有模型-Neuron model to study and practice to learn to re-model of the new model has been demonstrated
perceptron
- This program is made in Visual Basic and it trains a single neuron (perceptron) and learn how to discriminate examples.
DoAnMangNoron_TinHocK41
- some programs for neuron
vbkingviewpid
- 基于VB和组态王的水箱液位单神经元自适应PID控制-Based on VB and water tank of single neuron adaptive PID control
chapter17
- SOM神经网络的数据分类--柴油机故障诊断,通过bp神经网络的训练和查看分类，可以查看每个神经元的分类情况-SOM neural network data classification- diesel engine fault diagnosis, bp neural network training and view categories, you can view the classification of each neuron
BP
- 改进的BP神经元网络 完整训练回想泛化过程 网络参数可设置-The improved BP neuron network complete training retrospect process of generalization of network parameters can be set
ta
- 该程序为单神经元自适应PID控制算法在陶瓷扫成炉的气氛控制系统中的应用。这是我个人的软件设计。调试环境为：MATLAB7.11.0(R2010b)-The procedure for the single neuron adaptive PID control algorithm in ceramic sweep into the furnace atmosphere control system. This is a my personal software design. Debugging
shenjingwangluo
- 神经网络中径向基函数神经元模型，包括径向基函数的构建与相应的网络测试-Radial basis function neural network neuron model, including radial basis function network test
PID
- 单神经元自适应PID控制 单神经元自适应PID控制-Single neuron adaptive PID control single neuron adaptive PID control single neuron adaptive PID control
neuron
- It s an adaptie control on nurouns/
Hodgkin-Huxley-neuron-model
- matlab 代码实现神经元的Hodgkin Huxley 模型-matlab code for Hodgkin Huxley model
HH_MC_Project
- MC状态跟踪算法模拟了HH神经元的自发发放过程, 面积这里设定为5.-MC state change algorithm for an HH neuron firing. Area is 5 here.
chap9_1
- 此程序为单神经元自适应控制的MATLAB程序，可供学习神经网络进行控制的初始阶段使用。-This program is MATLAB single neuron adaptive control for learning neural network used to control the initial stage.
anymin
- 本程序使用GMDH网络对交通的流量进行预测，输入的数据为连续n天的m组流量数据。 输出数据为第n+1天的m组的流量的预测数据。 每个神经元的学习方式为widrow-hoff 在学习过程中，每一层否挑选15个优秀的神经元保留到下一层(This procedure uses GMDH network traffic flow prediction, the input data for the continuous n days of M group traffic data. The ou
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 recognize what orientation is r
liv_pack_born2001
- Neurons at progressively higher levels of the visual in which the direction selectivity in MT neurons could system have progressively larger, more complicated arise. It could be generated de novo from nondirectional receptive fields, presumably const
Verilog_Neuron-master
- Neuron coded in verilog
inspired_by_axonal_delay
- Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal domain. In this paper we are exploring whether a biophysical model of a pyramidal neuron can detect and learn systematic time delays between the spik