Combining group method of data handling models using artificial bee colony algorithm for time series forecasting

Combining group method of data handling models using artificial bee colony algorithm for time series forecasting

Time series forecasting which uses models to predict future values based on some historical data is an important area of forecasting, and has gained the attention of researchers from various related fields of study. In line with its popularity, various models have been introduced for producing accur...

Saved in:

書目詳細資料
主要作者:	Yahya, Nurhaziyatul Adawiyah
格式:	Thesis
語言:	English
出版:	2019
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/96778/1/NurHaziyatulAdawiyahMSC2019.pdf.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

The enhanced group method of data handling models for time series forecasting
由: Samsudin, Ruhaidah
出版: (2012)

An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
由: Shah, Habib
出版: (2014)

Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
由: Zuriani, Mustaffa
出版: (2014)

Piper nigrum Classification using Artificial Bee Colony Algorithm
由: Siti Hazemah, binti Hassan
出版: (2018)

Artificial Bee Colony With Differential Evolution Algorithm For Feature Extraction And Selection Of Mass Spectrometry Data
由: Mohamed Yusoff, Syarifah Adilah
出版: (2016)

Combined forecast model involving wavelet-group methods of data handling for drought forecasting
由: Mohammed Salisu, Alfa
出版: (2021)

Artificial bee colony and dynamic flux balance analysis for microbial production
由: Mohd. Yusof, Nur Farhah
出版: (2017)

Hybrid artificial bee colony algorithm with branch and bound for two–sided assembly line balancing
由: Elteriki, Salem Abdulsalam
出版: (2018)

The comparative forecast performance of univariate and multivariate model: an application to time series forecasting
由: Sallehuddin, Roselina, et al.
出版: (2009)

Hybridization of nonlinear and linear models for time series forecasting
由: Salleh@Sallehuddin, Roselina
出版: (2010)

Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
由: Abro, Abdul Ghani
出版: (2013)

Multifunctional optimized group method data handling for software effort estimation
由: Arbain, Siti Hajar
出版: (2022)

Enhanced Honey Bees Colony Algorithms For Protein Tertiary Structure Prediction
由: Bahamish, Hesham Awadh Abdallah
出版: (2011)

Identification of time series components using break for time series components (bftsc) and group for time series components (gftsc) techniques
由: Oloruntoba, Ajare Emmanuel
出版: (2022)

A hybrid approach based on arima and artificial neural networks for crime series forecasting
由: Mohd. Zaki, Mohd. Suhaimi
出版: (2014)

Enhancement on the modified artificial bee colony algorithm to optimize the vehicle routing problem with time windows
由: Sankor, Salah Mortada Shahen
出版: (2022)

Application of Artificial Bee Colony algorithm for distribution network reconfiguration /
由: Aimi Idzwan Tajudin
出版: (2012)

Home buyer assistant using artificial bee colony algorithm / Muhammad Izzat Azri Azman
由: Azman, Muhammad Izzat Azri
出版: (2017)

Time series modeling and designing of artifical neural network (ANN) for revenue forecasting
由: Mohd. Yusof, Norfadzlia
出版: (2005)

Flowshop scheduling using artificial bee colony (ABC) algorithm with varying onlooker bees approaches
由: Mohd Pauzi, Nur Fazlinda
出版: (2015)

Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
由: Sulaiman, Noorazliza
出版: (2017)

Hybrid Artificial Bees Colony Algorithms For Optimizing Carbon Nanotubes Characteristics
由: Mohammad Jarrah, Mu'ath Ibrahim
出版: (2018)

Seamless vertical handover technique for vehicular ad-hoc networks using artificial bee colony-particle swarm optimisation
由: Abdulwahhab, Mohanad Mazin
出版: (2019)

Recurrent error-based ridge polynomial neural networks for time series forecasting
由: Hassan Saeed, Waddah Waheeb
出版: (2019)

An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms
由: Ullah, Arif
出版: (2021)

The Estimation of missing values in time series using the combination of forecasts approach /
由: Rasimah Aripin
出版: (1994)

Combine holts winter and support vector machines in forecasting time series
由: Salisu, Alfa Mohammed
出版: (2013)

Combine holts winter and support vector machines in forecasting time serie
由: Alfa, Mohammed Salisu
出版: (2013)

The application of the combination model, econometric model and time series model in forecasting /
由: Chee, Kin Nyian
出版: (1998)

Arabic text classification based on artificial bee colony algorithm and semantic relations /
由: Hijazi, Musab Mustafa
出版: (2022)

Hybrid artificial bee colony and flower pollination algorithm for grid-based optimal pathfinding
由: Sabri, Aimi Najwa
出版: (2019)

Time series modeling and designing and artificial neural network (ANN) for revenue forecasting
由: Mohd Yusof, Norfadzlia
出版: (2006)

A hybrid group method of data handling with discrete wavelet transform for river flow forecasting
由: Mohamed Isa, Nadira
出版: (2012)

A novel algorithm : apriori-ant. The combination of apriori algorithm and ants colony optimization algorithm
由: Choo, Ai Ling
出版: (2005)

Implementation of requirements engineering method on handling patient data
由: Nasaruddin @ Ismail Shah, Zurain
出版: (2018)

A hybrid modified group method of data handling with the wavelet decomposition for oil palm price forecasting
由: Basheer, Huma
出版: (2021)

Deterministic and stochastic inventory routing problems with backorders using artificial bee colony /
由: Huda Zuhrah Ab Halim
出版: (2019)

Time series support vector regression models with missing data treatments for water level prediction
由: Ibrahim, Noraini
出版: (2014)

Perceived knowledge and practice in personal data handling
由: Ahmad, Nurul ‘Ain
出版: (2020)

Multiple objective optimization using artificial bee colony algorithm for optimal placement and sizing of distributed generation

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group