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神经网络BP算法的实现和两个小例子,其中包括两个.m文件和一个说明文档-Implementation of neural network BP algorithm and two small examples, including two. M file and a documentation
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这是一个MATLAB编写的m文件，主要简绍了神经网络在电力负荷预测中的应用-It is written in a MATLAB m file, mainly to heat the neural network load forecasting
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基于matlab的线性神经网络的模拟，源代码均是matlab的.m的文件，实现了一些线性神经网络的实例。-Linear neural network based on matlab simulation, matlab source code are the. M file, to achieve a number of examples of linear neural networks.
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matlab ver of cascade neural network m file
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PVM is a fast supvervised leanring algorithm who combine dimensioin reduction and neural network training.
I have prepared the code (including six algorithms KPVM, EL M/SVD, BP/SVD and BPVM, and one dataset "Face") and put them in one zip file "pvm
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神经网络训练的matlab M文件仿真例子。这个例子里面可以看到训练后最终拟合曲线是很接近给定样本的。-Matlab M file of the neural network training simulation examples. This example, which can be seen the training after the final fitting curve is very close to a given sample.
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自己写的BP网络逼近非线性函数的matlab的m文件，没有调用matlab现成的函数-Write your own BP neural network nonlinear function approximation matlab m-file, there is no ready-made call matlab function
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在demo中，用EKF和有噪声的EKF训练非线性、非平稳数据。-In this demo, I use the EKF and EKF with noise adaptation to train a neural network with data generated a nonlinear, non-stationary state space model. Adaptation is done by matching the innovations ensemble covariance
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matlab补偿模糊神经网络源代码
本文中有两个函数m文件：model126.m是一个用于预测的完全没有用工具箱函数的补偿模糊神经网络主程序，用于仿真、对比训练数据和网络输出的差异；cb.m是一个非线性系统的数学模型，在model126.m中用“ode45”函数求解这个数学模型后，可以得到105个x1(t)、x2(t)和y(t)，从而建立起一个两输入一输出的补偿模糊神经网络。(There are two function m file in this paper: model126.m is
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神经网络算法matlab 的M文件，图像重建(M file of neural network algorithm)
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第一个m文件：构造、训练BP神经网络并计算其识别率；第二个文件将进行人脸检测。注意：orl人脸数据库需要在网上下载。(The function of the first m file is to construct and train the BP neural network and calculate its recognition rate. The second is the detection of face. Note: the ORL face database needs to
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