Newton-Raphson-method

Common structures and definitions for FT1000 Flarion Flash OFDM PCMCIA and USB devices.

基于贝叶斯网络的风机出力预测，有预测指标等内容(wind power forecast based on the Bayesian method)

TSP matlab遗传算法求解，关于商旅问题(TSP matlab genetic algorithm)

用基于内点法的截断牛顿法来求出lasso问题(The truncated Newton method based on interior point method is used to solve the lasso problem)

用有限元方法计算光纤径向标量波动方程的解(Matlab code to compute radial component of scalar wave equation)

Another adaptive kalman filter algorithm which used in the SINS platform

ML gradient descend ，Stanford course(machine learning ，Andrew Ng)

segmentation of medical images

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.)

我也不是特别清楚，应该是手写数字识别的matlab程序(I do not particularly clear)