-
MATLAB-in-chemical-engineering
实用化工计算机模拟：MATLAB在化学工程中的应用(Practical Chemical Computer Simulation: MATLAB in chemical engineering)
- 2011-01-30 15:20:29下载
- 积分：1
-
Amplificadordireccionalpiramidal
This code make an amplification process using orthogonal frqquency bands
- 2014-11-18 10:59:39下载
- 积分：1
-
ond_six_pas
It is an inverter six steps (indirect) (three phase)
- 2013-11-17 05:49:07下载
- 积分：1
-
SimTopDic
OMNET对无线传感器网络中的运用于仿真，据有较高的使用价值。(OMNET wireless sensor networks used in the simulation, according to a higher use value.)
- 2011-04-23 21:36:34下载
- 积分：1
-
coloring-problem
Welsh.m为着色问题中的Welsh-Powell算法程序，并且sortd.m为其中调用的一个排序子函数。(Welsh.m coloring problem in the Welsh-Powell algorithm program and sortd.m call for which a sort subroutines.)
- 2012-04-16 15:01:13下载
- 积分：1
-
Floyd
使用MATLAB求解最短距离的求法，使距离总和最小(Use MATLAB to solve the method of seeking the shortest distance, so that the sum of the minimum distance)
- 2011-08-15 17:36:51下载
- 积分：1
-
FIR-Digital-Filter-Design
数字滤波器是一种用来过滤时间离散信号的数字系统，通过对抽样数据进行数学处理来达到频域滤波的目的。(FIR Digital Filter Design)
- 2012-01-12 11:10:26下载
- 积分：1
-
射线追踪方法rayce
射线追踪方法，求取地震射线在水平多层介质中传播路径。在此基础上合成地震记录，并进行动校正。(Ray tracing method, obtaining seismic ray propagation path in a horizontal multi-media. Synthetic seismograms On this basis, and thus the correction action.)
- 2016-01-20 09:19:17下载
- 积分：1
-
FFT
Matlab关于傅里叶变换的pdf资料 有用(Matlab program on the Fourier transform)
- 2010-06-03 17:14:38下载
- 积分：1
-
优秀论文及配套源码 SVM Short-term-Load-Forecasting
优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )
- 2021-04-01 17:09:08下载
- 积分：1
