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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
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.
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
linear
- 基于MATLAB的显示误差递变的线性神经元源程序，希望能够帮助大家-error shows the linear movements of neurons source, we hope to help
BP_Algorithm719
- 网络为３层结构，输入层为６个神经元，隐含层为４个神经元，输出层为１个神经元，当输入层为中心对称样本 1，0，0，0，0，1等时，网络输出为1，否则输出为0。-network of three-layer structure, input layer to six neurons to the hidden layer 4 neurons, the output layer to a neuron, when the input layer to the center symmetry sampl
20060822
- BP批处理源代码，可自由选择三层或多次网络，和神经元数目-BP batch source code, the freedom to choose three or more networks and the number of neurons
BPnetwork
- 用BP网络完成函数的逼近。BP网络通常有一个或多个隐层，隐层中的神经元均采用sigmoid型变换函数，输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务，其中隐层的神经元个数是5。-network to be completed by BP function approximation. BP networks usually have one or more hidden layer, hidden layer neurons are used sigmoid-ty
brainBp
- 本\"人工神经网络\"共有13个神经元构成，4个为输入神经元，1个为输 出神经元。也就是说，这个程序最多能处理一个四元关系(包含了二元， 三元)。-the "artificial neural network," a total of 13 neurons constitute, four input neurons, an output of the neurons. In other words, this procedure can handle a m
viva
- 经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以达到简化径向-via the Internet presents a clustering algorithm based on the ant colony RBFNN. Ant use the parallel algorithm o
spike
- 神经元信息传递的同步发放链matlab程序。此程序可以用来计算当神经元个数达到多少时，同步性多大时信息可以顺利传导。对研究生物信号传递的研究者会有帮助-neuronal synchronization information transmission chain Matlab payment procedures. This procedure can be used to calculate the number of neurons as how many, how much time sy
BP_example2
- 利用BP网络对一个简单的非线性神经元进行训练-BP network to a simple nonlinear neurons training
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 dimension (number of neurons) and
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 as unknowns. The derivation a
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