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基于MATLAB的显示误差递变的线性神经元源程序
- 开发环境:MATLAB 简要说明:基于MATLAB的显示误差递变的线性神经元源程序-development environment : MATLAB Brief Descr iption : Based on MATLAB error shows the linear movements of neurons source
Hop
- 用神经元模拟磁旋，用连接权模拟磁场中磁旋的相互作用，用各神经元的激活、抑制这两种状态，模拟磁旋的上下两个方向。 构成一个具有记忆功能的NN，并用计算能量函数，来评价和指导整个网络的记忆功能。 -using simulated neurons magnetic spins, and connecting with the right analog magnetic rotary magnetic field interaction
神经元模型
- 该程序模拟了神经元学习的过程.在学习过程中通过改变权值来慢慢接近教师信号.-the program to simulate the neurons learning process. In the process of learning by changing the value of the right of teachers to slowly close signal.
EA-neurons
- 一个在unix下运行的neurons EA小程序-a run in the neurons EA small program
BPprog
- BP算法最新C源程序, #include\"stdarg.h\" #include\"stdio.h\" #include\"stdlib.h\" #include\"math.h\" #include\"graphics.h\" #include\"conio.h\" #define IN 4 /*输入层的神经元个数*/ #define HID 13 /*隐含层的神经元个数*/ #define MO
MR2
- 对原有madaline算法改进，适应小范围变化对神经元带来的影响-the original neural algorithm to improve and adapt to small changes in the scope of the neurons affected
dbnn
- 基于神经元算法的图像处理，效果挺不错的，大家可以-neurons algorithm based on the image processing, the effect sounds very good, we can learn
nervecellmodel
- 这是神经元模型的C语言代码。神经元模型在控制等有着极为重要的应用。-This is the neuron model C language code. Neurons in the control model has a very important application.
EA-neurons
- 一个在unix下运行的neurons EA小程序-a run in the neurons EA small program
rjMCMCsa
- On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dim
neuro
- 神经网络中的神经元代码，用c++变的，变得不好，请大家指点-Neural network of neurons code, with c++ Change and become good, please instruct the U.S.
On-Line_MCMC_Bayesian_Model_Selection
- This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters
Reversible_Jump_MCMC_Bayesian_Model_Selection
- This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model param
neuralconstrut
- 用小波构造神经网络，将小波分解的基函数构成神经的隐函数。-Using Wavelet neural networks, wavelet decomposition will constitute the basis function of the implicit function neurons.
matlab
- 利用一个单隐层BP网络来逼近一个函数，在改程序中有21组数据。该网络的输入层和输出层的神经元个数均为一。-Using a single hidden layer BP network to approximate a function, in the reform process there were 21 sets of data. The network input layer and output layer are a numb
ccailiaonew
- HH模型 神经元放电 龙格库塔算法 神经元激发行为-HH model neurons Runge-Kutta algorithm
BPNN
- 人工神经网络就是模拟人思维的第二种方式。这是一个非线性动力学系统，其特色在于信息的分布式存储和并行协同处理。虽然单个神经元的结构极其简单，功能有限，但大量神经元构成的网络系统所能实现的行为却是极其丰富多彩的。 -Simulation of artificial neural network is a second way of human thinking. This is a nonlinear dynamic system,
zhineng
- 在MATLAB中用M文件编写来实现四种不同的单神经元控制器-realize single-neurons PID Controller in MATLAB
2-different-neurons(1)
- 对于两个不同神经元进行耦合后的体系进行模拟-Simulated for two different neurons coupled system
LOLIMOT-Calculating-the-optimum-number-of-neurons
- this program Calculates the optimum number of neurons for identifying steam by LOLIMOT.