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In this paper, we present two novel class-based weighting methods for the Euclidean nearest neighbor algorithm and compare them with global weighting methods considering empirical results on a widely accepted time series classification benchmark dataset. Our methods provide higher accuracy than every global weighting in nearly half of the cases and they have better overall performance. We conclude that class-based weighting has great potential for improving time series classification accuracy and it might be extended to use with other distance functions than the Euclidean distance.

This is a comprehensive book about MATLAB coding for econometric applications. all engineers and economist who concern about econometric, should read it

指数平滑法是对时间序列进行预测常用的方法之一,其理论基础是趋势外延，即未来一定时期内事物在数量上的演变特征不脱离过去的发展趋势,预测值是以前所有观测值的加权和,且对不同的数据给予不同的权数,越近期数据给予越大的权数,越远期的数据给予越小的权数。(Exponential smoothing method is commonly used to predict the time series one of the ways, the theoretical basis of the trend of the extension, that is, a certain period of time what the next evolution in the number of characteristics are not out of the development trend of the past to predict the value of all previous observations is the weighted and, on different data and different weights given to more recent data to give greater weights, the more long-term data to give the smaller weights.)

人工神经网络 感知器 matlab (Perceptron artificial neural network matlab)

说明：  里面有关于matlab图像处理的函数的详细介绍和例子。(There are on the matlab image processing function of the detailed introduction and examples.)

Estimation with Applications to Tracking and Navigation 源码(Estimation with Applications to Tracking and Navigation Source)

说明：  实现信号的frft变换,傅立叶变换是将观看角度从时域转变到频域，分数阶傅立叶变换就是以观看时频面的角度去旋转时频面的坐标轴，然后再从观察频域的角度去分析信息。(The FRFT transform of signal is realized)

说明：  在Bialas與Karwan的第 解演算法 [13] 則是搜尋限制式解域中的端點，並且歸類為已搜尋端點集合、未搜尋端點集合、可行解端點集合、非可行解端點集合，再從可行解端點集合中找出使高階目標值最佳的端點。(Bialas and Karwan in the first solution algorithm [13] is the search for solutions in the domain of endpoint constraints, and the endpoints are classified as a collection of search, not search a collection of endpoints, the endpoint set of feasible solutions, non-feasible solution side point set, then the endpoint from the set of feasible solutions in order to identify the best target endpoint.)

Some filters such as IIR, FIR...

A Guide to MATLAB for Beginners and Experienced Users - Hunt Lipsman & Rosenberg.rar