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[Other resource] mlsigmoid

Description: Sigmoid的参数求解matlab源代码，可以嵌入到各种机器学习问题中使用-Sigmoid parameters Solving Matlab source code, can be embedded into various machines used to study the problem
Platform: | Size: 1864 | Author: 罗军 | Hits:

[Special Effects] FunctionApproximation

Description: matlab平台上实现函数y=sinx的逼近程序，构造bp算法实现（输出层采用y=x线性函数，隐含层采用非对称Sigmoid函数）
Platform: | Size: 785 | Author: 黄泉 | Hits:

[Other resource] 3_1_1sigmoi

Description: 3－1 型sigmoid网络的matlab原程序，可以直接运行
Platform: | Size: 1174 | Author: jie | Hits:

[matlab] mlsigmoid

Description: Sigmoid的参数求解matlab源代码，可以嵌入到各种机器学习问题中使用-Sigmoid parameters Solving Matlab source code, can be embedded into various machines used to study the problem
Platform: | Size: 2048 | Author: 罗军 | Hits:

[matlab] BPnetwork

Description: 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-type transformation function, The output layer neurons using pure linear transformation function. The application of a two-tier cases BP network function approximation to complete the task, hidden layer neuron number is 5.
Platform: | Size: 1024 | Author: 张大坤 | Hits:

[Special Effects] FunctionApproximation

Description: matlab平台上实现函数y=sinx的逼近程序，构造bp算法实现（输出层采用y=x线性函数，隐含层采用非对称Sigmoid函数）-matlab platform function y = sinx approximation procedures, construction bp algorithm (output layer using linear function y = x, hidden layer use of non-symmetrical Sigmoid function)
Platform: | Size: 1024 | Author: 黄泉 | Hits:

[AI-NN-PR] waveletnn

Description: 一种基于BP算法学习的小波神经网络，网络隐层采用框架小波函数、输出层采用Sigmoid 激励函数, 并选用“熵误差函数”以加速网络的学习速度。-BP learning algorithm based on wavelet neural network, the network hidden layer using the framework of wavelet function, the output layer using Sigmoid activation function, and select
Platform: | Size: 1024 | Author: 黄乾 | Hits:

[matlab] 3_1_1sigmoi

Description: 3－1 型sigmoid网络的matlab原程序，可以直接运行-3-1 type sigmoid network matlab original procedures, can be directly run
Platform: | Size: 1024 | Author: jie | Hits:

[Graph program] byjc

Description: 对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not be an appropriate threshold for the gradient of their smaller fuzzy edge detected. To solve this problem, there are two solutions: the image variance standardization, widening the fuzzy edge of the gradient value, or by setting the sigmoid function pixel region to disseminate the message to the gradient values to adjust, on the can find a suitable threshold, effectively extracted fuzzy edge. This procedure of these two algorithms with the traditional algorithm.
Platform: | Size: 1024 | Author: 李思齐 | Hits:

[AI-NN-PR] bp3

Description: 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 number of nodes on each floor (2) allows selection of different learning rate η (3) be able to initialize the weights, initialized by [-1,1] interval random number (4) to allow selection of unipolar and bipolar type two different Sigmoid transfer function.
Platform: | Size: 1024 | Author: Mingruixia | Hits:

[AI-NN-PR] BPnn

Description: 基于随机梯度下降法的两层sigmoid神经元的BP算法-Stochastic gradient descent method based on two layers of sigmoid neurons in the BP algorithm
Platform: | Size: 1024 | Author: songmin | Hits:

[Program doc] anewLMSalgorithm

Description: 　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.-In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.
Platform: | Size: 206848 | Author: 韩一广 | Hits:

[Special Effects] sigmoid

Description: image streth matlab -image streth matlab
Platform: | Size: 11264 | Author: yinxiupu | Hits:

[matlab] BNT tools for HMM

Description: Major features BNT supports many types of conditional probability distributions (nodes), and it is easy to add more. Tabular (multinomial) Gaussian Softmax (logistic/ sigmoid) Multi-layer perceptron (neural network) Noisy-or Deterministic
Platform: | Size: 12275013 | Author: SunStacy | Hits:

[matlab] Functions-Matlab

Description: Bi-directional sigmoid, one-way sigmoid, linear function, sign function implementation on Matlab
Platform: | Size: 11264 | Author: sbekmezci | Hits:

[matlab] matlab-bp

Description: 本源码用Matlab去解决神经网络中的利用Sigmoid函数去训练的经典异或问题-The classic source Matlab to solve with the use of neural networks to train the Sigmoid function XOR problem
Platform: | Size: 1024 | Author: 鲁寒凝 | Hits:

[matlab] NN(MATLAB)

Description: This code is neural network (Matlab). The objective function is used the sigmoid.
Platform: | Size: 18432 | Author: packchanjun | Hits:

[AI-NN-PR] 第10章 模糊逼近算法

Description: RBF网络的学习过程与BP网络的学习过程类似，两者的主要区别在于各使用不同的作用函数。BP网络中隐层使用的是Sigmoid函数，其值在输入空间中无限大的范围内为非零值，因而是一种全局逼近的神经网络；而RBF网络中的作用函数是高斯基函数，其值在输入空间中有限范围内为非零值，因为RBF网络是局部逼近的神经网络。(The learning process of RBF networks is similar to the learning process of BP networks. The main difference between them is that they use different function functions. In the BP network layer using the Sigmoid function, the range of values in the input space within the infinite is nonzero, which is a global approximation of neural network; and the function of RBF network is the Gauss function, its value in the limited range of input space is nonzero, because the network is RBF the neural network of local approximation. RBF network is a 3 layer feedforward network, from input to output mapping is nonlinear, and the hidden layer space to the output space mapping is linear, and the)
Platform: | Size: 241664 | Author: pingyeliang | Hits:

[Other] BP

Description: BP神经网络的主程序，已经调试成功。其中传递函数可以自己随意选用，sigmoid，pureline等函数。训练函数也可以自己设置，trainlm，trainbr等等(Back propagation neural network.)
Platform: | Size: 1024 | Author: 李宁227 | Hits:

[Other] 稀疏自动编码器的matlab代码

Description: 本资源是3层的自编码器加上稀疏正则项约束的matlab代码。隐层激活函数选sigmoid函数，输出层选线性函数，程序中以一个标准数据集sonar为例，使用该方法可以做无监督表征学习，数据压缩，多任务学习等(This resource is a 3-layer self-encoder plus matlab code for sparse regular term constraints. The hidden layer activation function selects the sigmoid function, and the output layer selects the linear function. The program uses a standard data set sonar as an example. This method can be used for unsupervised representation learning, data compression, multi-task learning, etc.)
Platform: | Size: 101376 | Author: 帝都007 | Hits:
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