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yichuansuanfa_chengxu
- 遗传算法，matlab下的，系统辨识，例题，对象是用传递函数形式。并附结果-genetic algorithm, the Matlab, system identification, excellence, which is aimed at using transfer function form. Accompanied results
BP_tanh_linaer
- BP神经网络Simulink模型。。例子给了个离散传递函数。训练后的网络可以逼近任意传递函数，或者非线性函数。-Simulink model of BP neural network. . Examples for the discrete transfer function. Trained network can approximate any transfer function, or the nonlinear function.
bp3
- 三层前馈神经网络的BP算法。程序具有以下功能： （1） 允许选择各层节点数； （2） 允许选用不同的学习率η； （3） 能对权值进行初始化，初始化用[-1、1]区间的随机数； （4）允许选用单极性和双极性两种不同Sigmoid型转移函数。 -Three-tier feed-forward neural network BP algorithm. Procedures have the following functions: (1) allows to choose the
Delta
- 神经网络感知器学习规则：Delta学习规则。采用Delta学习规则，进行权值调整，阈值变换函数采用双极性连续函数。程序简单易懂，希望对大家有所帮助！-Neural network perceptron learning rule: Delta learning rule. Delta learning rule used to carry out the right to adjust the value of the threshold bipolar transfer function us
bp1
- 两层BP神经网络训练加权系数 隐含层取S型传输函数 输出取线性传输函数-Two-tier training BP neural network hidden layer weighting coefficient from S-transfer function output from the linear transfer function
BP
- delphi 2005下编译通过。支持变学习率。具有通用性，传递函数可自己写（动态调用）-delphi 2005 adopted under the compiler. Support variable learning rate. With the general nature of the transfer function can write their own (dynamic invocation)
FC
- 简易模糊控制器设计，输入给定为1，已知被控对象的传递函数-Simple fuzzy controller design, as an input to the known transfer function of the object and
BPcode
- matlab模拟BP网络，使用trainlm和traingd以及traingdx传递函数。-matlab simulation of BP network, the use of trainlm and traingd and traingdx transfer function.
PiecewiseFPGA
- 使用分段逼近(piecewise approximation)算法计算超越函数,以神经网络中最常用的双曲正切型(tanh)传输函数为例来分析逼近精度同分段数、有限字长之间的关系。 -Using segmented approximation (piecewise approximation) algorithm for computing transcendental functions, to the most commonly used neural network type hyper
RBFyuanchengxu
- 在RBF神经网络学习过程中，I出F神经元先计算输入与中心之间的距离，然 后再对这一距离进行某种非线性变换。输出层和隐藏层分别完成不同的任务，这两层学习的策略也不相同。输出层是对线性权进行调整，采用的是线性优化策略， 因而学习速度较快。而隐藏层是对传递函数的参数进行调整，采用的是非线性优 化策略，因而学习速度较慢。 RBF算法选用高斯函数作为隐藏层传递函数时，由隐藏层来实现从 x哼R，(x)的非线性映射，由输出层来实现从R,(X)--->y。的线性映射。-In the R
SGA
- 用标准的遗传算法优化低通数字滤波器的参数，采用的方法是最小均方误差法，得到较为理想的滤波器的传递函数的系数。-Genetic algorithm using standard low-pass digital filter, the method used is the minimum mean square error method to obtain the ideal filter transfer function coefficients.
BP
- BP神经网络识别代码，可以选择任意的传递函数，迭代函数。参数只需要输入矩阵和输出矩阵即可-BP neural network identification code, you can choose any of the transfer function, iterated function. Parameters only need to enter the matrix and output matrix can be
MATLAB-neural-network-toolbox
- 本工具箱描述了神经元模型及其传递函数和仿真函数等-This toolkit describes the neuron model and its transfer function and the simulation function and so on
bp
- 不用工具箱实现的单隐层BP神经网络MATLAB源码。以2维传递函数为对象，获得输入输出数据。建模效果良好。-Toolbox achieved without a single hidden layer BP neural network MATLAB source. In two-dimensional transfer function for the object, to obtain input and output data. Modeling good effect.
StandardBPalgorithmCode
- 该代码是基于标准BP算法训练样本数据的代码，压缩包里包含代码和样本数据。 BP(Back Propagation)神经网络，即信号的正向传播+误差的反向传播，该网络是应用最广泛的一种神经网络模型。BP网络的设计主要包括输入层,隐层,输出层及各层之间的权值、阈值及传输函数等几个方面。-The code is based on code standard BP algorithm training data, compression bag containing the code and sampl
Spiking-neural-networks
- This GUi implements the Eugene Izhikevich (2003) spiking equation. Spiking Neurons simulator Easily Simulate a Customizable Network of Spiking Leaky Integrate and Fire Neurons Simulation of an STDP-based constructive algorithm for spiking neura
GA
- 利用遗传算法，对已定结构的传递函数参数进行辨识-Genetic algorithm is used to identify the transfer function parameters of the fixed structure
uqdulation
- Visualize the effects of MTF (modulation transfer function,-The Visualize the effects of the MTF (modulation transfer function,
441311
- 闭环伺服系统传递函数和数学模型的研究,做电机伺服的可以-Closed-loop servo system transfer function and the mathematical model of research, make motor servo can look at
小波神经网络中不同小波基的性能对比
- 对比不同小波基作为传递函数的性能，包括sigmoid函数，morlet函数，polywog函数(Compare the performance of different wavelet bases as transfer function, including sigmoid function, Morlet function, polywog function)