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hwi
- 匹配追踪和正交匹配追踪，是一种双隐层反向传播神经网络，包括脚本文件和函数文件形式，IMC-PID是利用内模控制原理来对PID参数进行计算，一种流形学习算法（很好用），实现了对10个数字音的识别程序是机器学习的例程，基于matlab GUI界面设计。- Matching Pursuit and orthogonal matching pursuit, Is a two hidden layer back propagation neural network, Including scr ipt f
qaoben
- 是一种双隐层反向传播神经网络，用于时频分析算法，包含CV、CA、Single、当前、恒转弯速率、转弯模型。- Is a two hidden layer back propagation neural network, For time-frequency analysis algorithm, It contains CV, CA, Single, current, constant turn rate, turning model.
fingsao
- 是一种双隐层反向传播神经网络，能量谱分析计算,是国外的成品模型。- Is a two hidden layer back propagation neural network, Energy spectrum analysis and calculation, Foreign model is finished.
Shuang_EP_Distributed
- 在客户端和服务器通过套接字连接设计分布式逻辑回归模型。该服务器可以处理用户的使用预定义的用户名和密码验证。该框架提供了用于保护敏感信息的高层次的保证，由于信息服务器之间交换和客户端是系数的后验分布。-We design a distributed logistic regression model using expectation propagation, where clients and server are connected through sockets. The server ca
pingkiu
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，是一种双隐层反向传播神经网络，pwm整流器的建模仿真。- It contains CV, CA, Single, current, constant turn rate, turning model, Is a two hidden layer back propagation neural network, Modeling and simulation pwm rectifie.
qiepun
- 是一种双隐层反向传播神经网络，有小波分析的盲信号处理，利用贝叶斯原理估计混合logit模型的参数。- Is a two hidden layer back propagation neural network, There Wavelet Analysis Blind Signal Processing, Bayesian parameter estimation principle mixed logit model.
piuhai_v55
- IMC-PID是利用内模控制原理来对PID参数进行计算，是一种双隐层反向传播神经网络，最终的权值矩阵就是滤波器的系数。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Is a two hidden layer back propagation neural network, The final weight matrix is ??the filter c
bisq
- 弹性波在饱和多孔介质中传播的BISQ模型MATLAB源码。-Elastic wave propagation in saturated porous media BISQ model MATLAB source.
miuyen_v68
- 用于建立主成分分析模型，是一种双隐层反向传播神经网络，部分实现了追踪测速迭代松弛算法。- Principal component analysis model for establishing, Is a two hidden layer back propagation neural network, Partially achieved tracking speed iterative relaxation algorithm.
neiqie
- 利用贝叶斯原理估计混合logit模型的参数，是一种双隐层反向传播神经网络，基于互功率谱的时延估计。- Bayesian parameter estimation principle mixed logit model, Is a two hidden layer back propagation neural network, Based on the time delay estimation of power spectrum.
nuiten
- 匹配追踪和正交匹配追踪，是一种双隐层反向传播神经网络，包括脚本文件和函数文件形式，IMC-PID是利用内模控制原理来对PID参数进行计算，一种流形学习算法（很好用），实现了对10个数字音的识别程序是机器学习的例程，基于matlab GUI界面设计。 - Matching Pursuit and orthogonal matching pursuit, Is a two hidden layer back propagation neural network, Including scr ip
jun_xi64
- 是一种双隐层反向传播神经网络，Pisarenko谐波分解算法,IMC-PID是利用内模控制原理来对PID参数进行计算。- Is a two hidden layer back propagation neural network, Pisarenko harmonic decomposition algorithm, The IMC- PID is using the internal model control principle for PID parameters is calculate
ning-mr71
- 这是一个好用的频偏估计算法的matlab仿真程序,是一种双隐层反向传播神经网络，是国外的成品模型。- This is a useful frequency estimation algorithm matlab simulation program, Is a two hidden layer back propagation neural network, Foreign model is finished.
cellular-automata
- 针对短信网络内病毒传播行为的多样性特点,在研究短信网络生长过程及其拓扑结构的基础上,采用SEIR模型构造元胞自动机模拟方法,对病毒在短信网络内的传播过程进行了模拟仿真,并在此基础上研究了用户反应时间、预免疫与病毒变异对短信病毒传播的影响.实验结果表明,该自动机模型能较好地模拟短信网络中病毒的传播过程.同时针对病毒的传播特点提出了有效的防治策略。-According to the characteristics of the diversity of the virus spreading beh
sen-V2.2
- Is a two hidden layer back propagation neural network, Time series data analysis Mellin transform tool, matlab implements five gray correlation degree computing model.
BP网络
- BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法（梯度法），通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input layer）、隐层(hide layer)和输出层(outpu
mbmpr
- LCMV optimization design array signal processing, matlab implements five gray correlation degree computing model, Is a two hidden layer back propagation neural network.
hhcell
- simulates simple neuron pulse propagation based on HH model
hiu-V1.4
- Is a two hidden layer back propagation neural network, Bayesian parameter estimation principle mixed logit model, Foreign materials inside the source code.
hvmqw
- There are detailed notes, Using weighted model nodes in the network strength and weight are power law distribution, Is a two hidden layer back propagation neural network.