zhengxuanxinhaojiance

用普通I/O口模拟I2C通信读写vs1307时钟芯片程序，此程序在MPLAB IDE环境下开发，在PIC16F877单片机上运行通过。(With common I/O port to read and write clock chip vs1307)

PCA数据降维，利用MATLAB进行开发学习(PCA of data dimensionality reduction, using MATLAB to develop learning)

c#实现调用matlab的DLL文件，实现两个矩阵相加的 demo.(c# implementation calls the DLL file matlab realize the sum of two matrices demo.)

这是Matlab的一个语音工具箱 很有用(This is a Matlab toolbox very useful voice)

三维激光扫描的点云，如果是在一个面上，用局部小邻域拟合出平面(3D laser scanning point cloud, if it is on one side, with small local neighborhood fitting plane)

区间偏最小二乘，主要用于近红外数据处理。(Interval partial least squares, mainly for near-infrared data processing.)

典型的cholesky 分解算法，希望对大家有所帮助啊(typical cholesky deposition )

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.)

Snakes算法的matlab代码 (Snakes algorithm matlab code)

用Matlab实现复杂网络度分布的计算。(Matlab realization of complex networks with degree distribution calculations.)