Prognosticating the effect on Unemployment rate in the post-pandemic India via Time-Series Forecasting and Least Squares Approximation

Pattern Recognition Letters ◽

10.1016/j.patrec.2021.10.012 ◽

2021 ◽

Author(s):

Ashutosh Agrahari ◽

Pawan Singh ◽

Ankur Veer ◽

Anshuman Singh ◽

Ankit Vidyarthi ◽

...

Keyword(s):

Time Series ◽

Least Squares ◽

Unemployment Rate ◽

Time Series Forecasting ◽

Least Squares Approximation

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Fuzzy time series forecasting model with natural partitioning length approach for predicting the unemployment rate under different degree of confidence

10.1063/1.4995858 ◽

2017 ◽

Author(s):

Nazirah Ramli ◽

Siti Musleha Ab Mutalib ◽

Daud Mohamad

Keyword(s):

Time Series ◽

Unemployment Rate ◽

Time Series Forecasting ◽

Fuzzy Time Series ◽

Forecasting Model ◽

Degree Of Confidence

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Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.246736 ◽

2006 ◽

Cited By ~ 1

Author(s):

Jayadeva ◽

R. Khemchandani ◽

S. Chandra

Keyword(s):

Time Series ◽

Least Squares ◽

Support Vector Regression ◽

Time Series Forecasting ◽

Support Vector ◽

Regularized Least Squares

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A least squares-based parallel hybridization of statistical and intelligent models for time series forecasting

Computers & Industrial Engineering ◽

10.1016/j.cie.2018.02.023 ◽

2018 ◽

Vol 118 ◽

pp. 44-53 ◽

Cited By ~ 6

Author(s):

Zahra Haji Rahimi ◽

Mehdi Khashei

Keyword(s):

Time Series ◽

Least Squares ◽

Time Series Forecasting ◽

Intelligent Models

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Time-series forecasting of the German unemployment rate

Journal of Forecasting ◽

10.1002/for.3980110203 ◽

1992 ◽

Vol 11 (2) ◽

pp. 111-125 ◽

Cited By ~ 6

Author(s):

Michael Funke

Keyword(s):

Time Series ◽

Unemployment Rate ◽

Time Series Forecasting

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Chaotic time series forecasting using online least squares support vector machine regression

Acta Physica Sinica ◽

10.7498/aps.54.2568 ◽

2005 ◽

Vol 54 (6) ◽

pp. 2568

Author(s):

Ye Mei-Ying ◽

Wang Xiao-Dong ◽

Zhang Hao-Ran

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Least Squares ◽

Time Series Forecasting ◽

Chaotic Time Series ◽

Support Vector ◽

Support Vector Machine Regression

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Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting

The 2006 IEEE International Joint Conference on Neural Network Proceedings ◽

10.1109/ijcnn.2006.1716147 ◽

2006 ◽

Author(s):

Jayadeva ◽

R. Khemchandani ◽

S. Chandra

Keyword(s):

Time Series ◽

Least Squares ◽

Support Vector Regression ◽

Time Series Forecasting ◽

Support Vector ◽

Regularized Least Squares

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A HYBRID LEAST SQUARES SUPPORT VECTOR MACHINE WITH BAT AND CUCKOO SEARCH ALGORITHMS FOR TIME SERIES FORECASTING

Journal of Information and Communication Technology ◽

10.32890/jict2020.19.3.3 ◽

2020 ◽

Vol 19 (3) ◽

pp. 351-379

Author(s):

Athraa Jasim Mohammed ◽

Khalil Ibrahim Ghathwan ◽

Yuhanis Yusof

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Least Squares ◽

Cuckoo Search ◽

Search Algorithms ◽

Time Series Forecasting ◽

Support Vector

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A HYBRID GMDH AND LEAST SQUARES SUPPORT VECTOR MACHINES IN TIME SERIES FORECASTING

Neural Network World ◽

10.14311/nnw.2011.21.015 ◽

2011 ◽

Vol 21 (3) ◽

pp. 251-268 ◽

Cited By ~ 5

Author(s):

R. Samsudin ◽

P. Saad ◽

A. Shabri

Keyword(s):

Time Series ◽

Support Vector Machines ◽

Least Squares ◽

Time Series Forecasting ◽

Support Vector ◽

Vector Machines

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Combination of particle-swarm optimization with least-squares support vector machine for FDTD time series forecasting

Microwave and Optical Technology Letters ◽

10.1002/mop.21288 ◽

2005 ◽

Vol 48 (1) ◽

pp. 141-144 ◽

Cited By ~ 13

Author(s):

Y. Yang ◽

R. S. Chen ◽

Z. B. Ye

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Particle Swarm Optimization ◽

Least Squares ◽

Particle Swarm ◽

Time Series Forecasting ◽

Support Vector ◽

Swarm Optimization

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Artificial Neural Network with Histogram Data Time Series Forecasting: A Least Squares Approach Based on Wasserstein Distance

Studies in Computational Intelligence - Behavioral Predictive Modeling in Economics ◽

10.1007/978-3-030-49728-6_23 ◽

2020 ◽

pp. 351-362

Author(s):

Pichayakone Rakpho ◽

Woraphon Yamaka ◽

Kongliang Zhu

Keyword(s):

Neural Network ◽

Time Series ◽

Artificial Neural Network ◽

Least Squares ◽

Wasserstein Distance ◽

Time Series Forecasting ◽

Artificial Neural ◽

Least Squares Approach

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