-
Elman神经网络预测电力负载
Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)
- 2019-05-16 19:07:39下载
- 积分：1
-
23825750VRB
simulink搭建全钒液流电池模型，包括SOC估算，比较Vstack,和Vb(SIMLINK MODELING OF ALL VANADIUM FLOW BATTERY, INCLUDING SOC ESTIMATION)
- 2021-04-18 20:48:57下载
- 积分：1
-
chap4
系统辨识与自适应控制MATLAB 仿真CH4 ,，好东西大家一起分享(System identification and adaptive control of MATLAB simulation of CH4,, good things to share with everyone)
- 2009-12-16 10:51:11下载
- 积分：1
-
doublependulum
说明： 此文件是二级倒立摆的仿真模型与仿真源程序(set up on a double inverted pendulum fuzzy control module of the Matlab files)
- 2021-03-09 16:09:27下载
- 积分：1
-
UTP_channel_response_generate
该段代码生成不同长度下，双绞线信道的远端衰减冲激响应系数。双绞线频域带宽最高可达106MHz，采样率设置时必须大于两倍的频域带宽。双绞线信道模型使用ITU-T-SG15 contribution 11GS3-029中的模型。(This code generates a different length, the distal twisted channel impulse response attenuation coefficient. Twisted frequency domain bandwidth of up to 106MHz, must be greater than twice the frequency-domain bandwidth sampling rate settings. UTP channel model using the ITU-T-SG15 contribution 11GS3-029 the model.)
- 2015-02-23 12:50:51下载
- 积分：1
-
dtft
该m文件是数字信号处理实验课上的实验2：离散时间傅里叶变换(The m-file is an experimental course on Digital Signal Processing Experiment 2: Discrete-time Fourier transform)
- 2015-03-02 18:03:57下载
- 积分：1
-
matlabexamples
matlab揭秘这本书的配套学习实例，里面有书上讲解到的源代码实例。(matlab examples)
- 2010-05-12 09:32:51下载
- 积分：1
-
convolution
convolution_ different methods.. circular n linear covolution included
- 2014-02-09 13:34:33下载
- 积分：1
-
TSP
TSP( Traveling Salesman Problem) is a typical NP complete problem ,genetic algorithm is the perfect method for solving NP complete problem. (TSP (Traveling Salesman Problem) is a typical NP complete problem, genetic algorithm is the perfect method for solving NP complete problem.)
- 2008-05-17 23:51:47下载
- 积分：1
-
laplacian_eigen
Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.
- 2011-01-23 02:17:08下载
- 积分：1
|
联系客服（QQ：3324461878）
