Multivariate_GARCH

fft的matlab编程实现，能够进行2的整数次幂的点数的fft运算，采用基2算法(fft in matlab programming, can be integral power of 2 points in the fft computation algorithm using radix-2)

使用matlab进行模拟退火算法编例，解决车辆路径最优化问题。(vrp with use of SA)

改进后的离散粒子群算法，支持多种寻优解决方案(The improved discrete particle swarm optimization (pso), support for multiple optimal solutions)

matlab建立了某流域1月份降水量的二次多项式和三次多项式趋势面(matlab created a watershed in January precipitation quadratic polynomial and cubic polynomial trend surface)

Reactor Calculator Assume: Batched, 100 conversion

说明：   粒子群聚类算法(Particle cluster-like algorithm)

传感器节点故障诊断，分布式WMFD故障诊断算法，基于相邻节点信息比较的诊断方法(Distributed sensor network fault detection based on weighted median )

esprit的matlab仿真程序，tsl算法，生成随信噪比递增的均方差变化图。(the esprit matlab simulation program, the tsl algorithm, to generate change in the mean square error with the SNR increase.)

conférence ISPLC , cyclic analysis of noise on PLC

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)