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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 with the activation of neuron
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 MOD 594 /*学习样本个数*/ #define OUT
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.
first_fire
- 这是基于生物学中实际神经元动作电位产生机制而建立的神经元发火模型。-This is based on the actual biological neurons mechanism of action potentials and the establishment of neurons ignition model.
bp_proj
- BP网络是一种多层前馈神经网络，其神经元的变换函数是S型函数-BP is a multilayer feed-forward neural network, neurons in the transformation function is S-type function
Manual_NN_construct
- 人工神经网络建造，从生物神经元入手，详细讲解了人工神经网络的分布系统模型和人工神经网络的其他模型以及大规模神经网络的实现。-artificial neural network construction, biological neurons from the start. details on the artificial neural network model of the distribution system and artificial neural network model and
kongming
- 神经网络训练根据Kolmogorov定理，输入层有14个节点，所以中间层有29个节点 ％中间层神经元的传递函数为 tansig ％输出层有8个节点，其神经元传递函数为logsig ％训练函数采用traingdx-neural network training under the Kolmogorov theorem, input layer has 14 nodes, Therefore, the intermediate layer has 29% of nodes middle
percept1
- 多个感知器神经元的分类问题 ％四类输入向量-many neurons in the classification of four input vector%
hopfieldSrc
- The Hopfield model is a distributed model of an associative memory. Neurons are pixels and can take the values of -1 (off) or +1 (on). The network has stored a certain number of pixel patterns. During a retrieval phase, the network is started with so
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 number of neurons.
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, which features a distributed i
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.