Tag：sequence
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Time：2021-4-19
The video recorded in this series is mainly on station BRust necromancer learning video Rust necromancer related source information ingithub.com/anonymousGiga/Rustonomi… introduce MEM:: transmute < T, u > takes a value of type T and resolves it back to type U. T and u are required to be the same size.This kind of operation is unsafe […]
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Time：2021-4-13
Zip() function is one of the built-in functions in Python. It can compress multiple sequences (list, tuple, dictionary, set, string and range() interval) into a zip object. The so-called “compression” is actually to recombine the elements at the corresponding positions in these sequences to generate new tuples. Unlike Python 3. X, the zip() function in […]
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Time：2021-4-9
Link to the original text:http://tecdat.cn/?p=20335 In this paper, we will introduce three advanced techniques to improve the performance and generalization ability of recurrent neural networks. We demonstrate three concepts for temperature prediction, using time series of sensors on the roof of a building. summary In this paper, we will introduce three advanced techniques to improve […]
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Time：2021-4-9
An algorithm is designed to judge whether the brackets in the expression are paired. The (stack) data structure is the best. Parsing: judge each character in the expression in turn. If it is left bracket, it will enter the stack. If it is right bracket, it will exit the stack. When leaving the stack, judge […]
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Time：2021-4-8
The text and pictures of this article are from the Internet, only for learning and communication, and do not have any commercial use. The copyright belongs to the original author. If you have any questions, please contact us in time The following article is from Tencent cloud by Yu Liang Do not reverse by defaultSort […]
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Time：2021-4-7
Link to the original text:http://tecdat.cn/?p=7207 In this article, I want to show you how to apply the trading strategy of S & P500 stock market index. By combiningARIMAandGARCHModel, in the long run, we can go beyond the “buy and hold” approach. Strategy overview The strategy is implemented on the basis of “rolling” prediction For each […]
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Time：2021-4-6
STL_ Common algorithms 1、 Common search algorithms adjacent_find() adjacent_find(iterator beg, iterator end, _callback); In the range of iterator pair identification elements, find a pair of adjacent duplicate elements, and return the iterator pointing to the first element of the pair. vector vecInt; vecInt.push_back(1); vecInt.push_back(2); vecInt.push_back(2); vecInt.push_back(4); vecInt.push_back(5); vecInt.push_back(5); vector::iterator it = adjacent_find(vecInt.begin(), vecInt.end()); //*it = […]
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Time：2021-4-3
Link to the original text:http://tecdat.cn/?p=20424 introduce Time series provide a method for forecasting future data. Based on the previous values, time series can be used to predict economic, weather trends. The specific attributes of time series data mean that special statistical methods are usually needed. In this tutorial, we will first introduce and discuss the […]
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Time：2021-4-2
Link to the original text:http://tecdat.cn/?p=20434 This paper discusses the seasonal unit root from a practical point of view. Let’s consider some time series)For example, traffic flow on the road, > plot(T,X,type=”l”) > reg=lm(X~T) > abline(reg,col=”red”) If there is a trend, we should delete it and deal with the residuals > Y=residuals(reg) > acf(Y,lag=36,lwd=3) […]
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Time：2021-4-2
Link to the original text:http://tecdat.cn/?p=20953 preface This paper demonstrates the application of DLMS and dlnms in time series analysis. Gasparrini et al. [2010] and Gasparrini [2011] described the development of DLMS and dlnms and the realization of time series data. The examples described in this paper cover most of the standard applications of dlnm methods […]
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Time：2021-3-31
1、 RNN overview The assumptions of artificial neural network and convolutional neural network are as followsThe elements are independent of each otherBut in many cases of life, this assumption does not hold, such as you write a meaningful paragraph“It takes only one second to meet someone, three seconds to like someone, and one minute to […]
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Time：2021-3-26
The iterator makes the algorithm independent of the container, but the algorithm depends on the operation of the element type. Algorithms never perform container operations. The algorithm never changes the size of the underlying container. accumulateIt is defined in the header file numeric and accepts three parameters. The first two indicate the range of elements […]
