Forecasting 第6页

愉快的学习就从翻译开始吧_Multivariate Forecasting

MultivariateForecasting/多变量预测Anotherimportanttypeoftimeseriesiscalledmultivariatetimeseries.另一种重要的时间序列类型被称为多变量时间序列Thisiswherewemayhaveobservationsofmultipledifferentmeasuresandaninterestinforecastingo

dreamscape9999·2018-06-30 19:57

愉快的学习就从翻译开始吧_Multi-Step or Sequence Forecasting

Multi-SteporSequenceForecasting/Adifferenttypeofforecastingproblemisusingpastobservationstoforecastasequenceoffutureobservations.另一种类型的预测问题是使用过去的观测来预测未来观测的序列。Thismaybecalledsequenceforecastingormulti-

dreamscape9999·2018-06-30 18:49

愉快的学习就从翻译开始吧_Multi-step Time Series Forecasting_13_Multi-Step LSTM Network_Extensions&Summary

Extensions/扩展Therearesomeextensionsyoumayconsiderifyouarelookingtopushbeyondthistutorial.如果您希望超越本教程，可以考虑一些扩展。UpdateLSTM.ChangetheexampletorefitorupdatetheLSTMasnewdataismadeavailable.A10softrainingepo

dreamscape9999·2018-06-19 13:40

愉快的学习就从翻译开始吧_Multi-step Time Series Forecasting_10_Multi-Step LSTM Network_Make LSTM Forecasts

MakeLSTMForecasts/让LSTM预测ThenextstepistousethefitLSTMnetworktomakeforecasts.下一步是用拟合的LSTM网络来做预测AsingleforecastcanbemadewiththefitLSTMnetworkbycallingmodel.predict().Again,thedatamustbeformattedintoa3Da

dreamscape9999·2018-06-19 12:38

愉快的学习就从翻译开始吧_Multivariate Time Series Forecasting with LSTMs in Keras_3_Multivariate LSTM Forecast

3.MultivariateLSTMForecastModel/多变量LSTM预测模型Inthissection,wewillfitanLSTMtotheproblem.本章，我们将一个LSTM拟合到这个问题LSTMDataPreparation/LSTM数据准备ThefirststepistopreparethepollutiondatasetfortheLSTM.第一步是为LSTM准备污染数据

dreamscape9999·2018-06-15 23:32

愉快的学习就从翻译开始吧_8-Time Series Forecasting with the Long Short-Term Memory Network in Python

CompleteLSTMExample/完整的LSTM示例Inthissection,wewillfitanLSTMtotheShampooSalesdatasetandevaluatethemodel.在本节中，我们将为洗发水销售数据集拟合LSTM并评估模型。Thiswillinvolvedrawingtogetheralloftheelementsfromthepriorsections.Th

dreamscape9999·2018-06-12 21:29

愉快的学习就从翻译开始吧_4-Time Series Forecasting with the Long Short-Term Memory Network in Python

TransformTimeSeriestoStationary/转换时间序列为固定（搞不懂什么意思）TheShampooSalesdatasetisnotstationary.洗发水数据集不是固定的Thismeansthatthereisastructureinthedatathatisdependentonthetime.Specifically,thereisanincreasingtrend

dreamscape9999·2018-06-11 18:14

Python时间序列数据分析--以示例说明

https://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python/英文不错的读者可以前去阅读原文。

meng_shangjy·2018-03-27 16:46

预测开始

http://www.cnblogs.com/bradleon/p/6832867.htmlhttps://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python

万三豹·2018-03-20 00:00

python keras LSTM 学习

本文源自https://machinelearningmastery.com/time-series-forecasting-long-short-term-memory-network-python/

数据咸鱼·2017-09-19 13:56

Multivariate Time Series Forecasting with LSTMs in Keras 中文版翻译

像长期短期记忆（LSTM）神经网络的神经网络能够模拟多个输入变量的问题。这在时间序列预测中是一个很大的益处，其中古典线性方法难以适应多变量或多输入预测问题。在本教程中，您将发现如何在Keras深度学习库中开发多变量时间序列预测的LSTM模型。完成本教程后，您将知道：如何将原始数据集转换为可用于时间序列预测的内容。如何准备数据并适应多变量时间序列预测问题的LSTM。如何做出预测并将结果重新调整到原始

明明1234明·2017-08-16 10:49

python时序数据分析--以示例说明

https://www.analyticsvidhya.com/blog/2016/02/time-series-forecasting-codes-python/英文不错的读者可以前去阅读原文。

geek精神·2017-05-09 21:00

时间序列 R 10 其他进阶预测方法 Advanced forecasting methods

1Dynamicregressionmodels动态回归模型前面的内容中要么只考虑了时间，要么只考虑了其他自变量的影响，这一节将考虑各个变量和时间的综合影响。1.1regressionmodels+ARIMAmodels首先我们简单的将回归和Arima组合，做一个简单的动态回归模型。其组合的方法和实质就是将回归模型中的误差项变为时间序列的ARIMA，也可以理解为下式：yt=回归+ARIMA+et当

bea_tree·2016-05-02 15:00

时间序列 R 读书笔记 Forecasting: principles and practice 06 回归概述

1简单回归1.1线性回归残差性质线性回归想必大家都比较熟悉了,其回归方程是y^i=β^0+β^1xi残差是：ei=yi−y^i=yi−β^0−β^1xi.残差有以下性质：∑i=1Nei=0and∑i=1Nxiei=0.其残差为白噪声且与自变量没有关系1.2回归与相关性回归与相关性有较大的关系,设相关系数为r,sy,sx分别为y和x的观测值，他满足下式：β^1=rsysx,可以看出线性回归将相关性联

bea_tree·2016-04-20 09:00

时间序列 R 读书笔记 04 Forecasting: principles and practice

本章开始学习《Forecasting:principlesandpractice》1gettingstarted1.1事件的可预言性一个时间能不能被预言主要取决于以下三点1.对事件的影响因素的了解程度，

bea_tree·2016-04-18 23:00

时间序列 R语言读书笔记 01

本文是学习《时间序列分析及应用R语言（前两章）》及《Forecasting:principlesandpractice》时的读书笔记，如有错误，欢迎指正，不胜感激。

bea_tree·2016-04-17 14:00

常用的预测误差计算方法

转自：http://www.forecastpro.com/Trends/forecasting101August2011.htmlForecasting101:AGuidetoForecastErrorMeasurementStatisticsandHowtoUseThemErrormeasurementstatisticsplayacriticalroleintrackingforecasta

lynnucas·2015-09-06 20:02

常用的预测误差计算方法

转自：http://www.forecastpro.com/Trends/forecasting101August2011.html Forecasting101:AGuidetoForecastErrorMeasurementStatisticsandHowtoUseThemErrormeasurementstatisticsplayacriticalroleintrackingfo

lynnucas·2015-09-06 20:00

【Energy Forecasting】能源预测的发展和展望

说明本文的内容来自TaoHong博士的EnergyForecasting:Past,PresentandFuture一文的翻译和整理。引入能源预测包含了电力行业中有关预测的广泛的内容，比如短期负荷预测、长期负荷预测、局部负荷预测、电价预测、需求响应预测还有可再生能源发电预测等。由于电力存储的限制和社会对于电力的需求造成了几个能源预测的有趣性质，比如复杂的季节性模式、24/7的电网数据收集、对准确度

JasonDing1354·2015-07-13 14:53

【Energy Forecasting】能源预测的发展和展望

说明本文的内容来自TaoHong博士的EnergyForecasting:Past,PresentandFuture一文的翻译和整理。引入能源预测包含了电力行业中有关预测的广泛的内容，比如短期负荷预测、长期负荷预测、局部负荷预测、电价预测、需求响应预测还有可再生能源发电预测等。由于电力存储的限制和社会对于电力的需求造成了几个能源预测的有趣性质，比如复杂的季节性模式、24/7的电网数据收集、对准确度

JasonDing1354·2015-07-13 14:00

Comparing Stock Returns Forecasting Methods Using SAS

http://support.sas.com/resources/papers/proceedings12/163-2012.pdf文章比较了较传统的股票分析方法：移动平均MA，相对强度指标RSI，布连线；处于数据的连续和完整，文章选取1981.1.2-2010.12.31时间内纽交所都进行交易的股票数据，共计355只个股。数据包含了一下变量：日期date,股票的ID，日收益RET,股票调整价格A

yugao1986·2012-07-17 13:00

Cash & Logistics

Worldwide, operations executives are reevaluating their cash forecasting and logistics strategies against

nogocn·2008-11-07 21:00

Cash & Logistics

Worldwide, operations executives are reevaluating their cash forecasting and logistics strategies against

nogocn·2008-11-07 21:00

Cash & Logistics

Worldwide, operations executives are reevaluating their cash forecasting and logistics strategies against

nogocn·2008-11-07 21:00

ODM和OLAP实现时序预测(一)

Part 1 概要前言 http://oracledmt.blogspot.com/2006/01/time-series-forecasting-part-1_23.html Oracle

izuoyan·2007-12-05 20:00

ODM和OLAP实现时序预测(一)

Part 1 概要前言 http://oracledmt.blogspot.com/2006/01/time-series-forecasting-part-1_23.html Oracle

xiaoer_1982·2007-12-05 20:00

Sparks on forecasting models

cookoo·2005-11-11 00:00

Sparks on forecasting models

Just finished reading the set of papers titled Developments in Forecast Combination and Portfolio Choice, since it's due tomorrow. (I'm a bit lazy currently><) Some of points I came to:

cookoo·2005-11-11 00:00

推荐频道

Forecasting

愉快的学习就从翻译开始吧_Multivariate Forecasting

愉快的学习就从翻译开始吧_Multi-Step or Sequence Forecasting

愉快的学习就从翻译开始吧_Multi-step Time Series Forecasting_13_Multi-Step LSTM Network_Extensions&Summary

愉快的学习就从翻译开始吧_Multi-step Time Series Forecasting_10_Multi-Step LSTM Network_Make LSTM Forecasts

愉快的学习就从翻译开始吧_Multivariate Time Series Forecasting with LSTMs in Keras_3_Multivariate LSTM Forecast

愉快的学习就从翻译开始吧_8-Time Series Forecasting with the Long Short-Term Memory Network in Python

愉快的学习就从翻译开始吧_4-Time Series Forecasting with the Long Short-Term Memory Network in Python

Python时间序列数据分析--以示例说明

预测开始

python keras LSTM 学习

Multivariate Time Series Forecasting with LSTMs in Keras 中文版翻译

python时序数据分析--以示例说明

时间序列 R 10 其他进阶预测方法 Advanced forecasting methods

时间序列 R 读书笔记 Forecasting: principles and practice 06 回归概述

时间序列 R 读书笔记 04 Forecasting: principles and practice

时间序列 R语言 读书笔记 01

常用的预测误差计算方法

常用的预测误差计算方法

【Energy Forecasting】能源预测的发展和展望

【Energy Forecasting】能源预测的发展和展望

Comparing Stock Returns Forecasting Methods Using SAS

Cash & Logistics

Cash & Logistics

Cash & Logistics

ODM和OLAP实现时序预测(一)

ODM和OLAP实现时序预测(一)

Sparks on forecasting models

Sparks on forecasting models

时间序列 R语言读书笔记 01