封面圖片

Development of hybrid algorithm of residual bootstrap artificial neural network based on sukuk volatility forecast model.

Development of hybrid algorithm of residual bootstrap artificial neural network based on sukuk volatility forecast model. by Nurul Hila Zainuddin

Saved in:

書目詳細資料
主要作者:	Nurul Hila Zainuddin
格式:	research_report
語言:	English
出版:	Tanjong Malim 2018
主題:	QA Mathematics
在線閱讀:	https://ir.upsi.edu.my/detailsg.php?det=7427 https://ir.upsi.edu.my/detailsg.php?det=7427
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks
由: Nurul Hila Zainuddin
出版: (2019)

Empirical study of sukuk investment forecasting using artificial neural network base algorithm
由: Nurul Hila binti Zainuddin
出版: (2019)

Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks
由: Zainuddin, Nurul Hila, et al.
出版: (2019)

The effect of aggregating bootstrap on the accuracy of neural network system for islamic investment prediction (SCOPUS)
由: Nurul Hila Zainuddin
出版: (2021)

Artificial neural network forecasting performance with missing value imputations
由: Abd. Rahman, N. H., et al.
出版: (2020)

Forecasting on House Price Index using Artificial Neural Network
由: Gobalkrishnan, Gangaieisvari, et al.
出版: (2023)

Hybrid seasonal ARIMA and artificial neural network in forecasting Southeast Asia city air pollutant index
由: Rahman, N. H. A., et al.
出版: (2019)

Bootstrapping the Multilayer Feedforward Propagation System for Predicting the Arrival Guest in Malaysia (SCOPUS)
由: Nurul Hila Zainuddin
出版: (2021)

Artificial neural networks and fuzzy time series forecasting: an application to air quality
由: Abd. Rahman, Nur Haizum, et al.
出版: (2015)

Assessing forecasting performance on gold data using artificial neural network based models
由: Ahmad, Mohammad Ridwan Reyaz
出版: (2019)

A hybrid of bekk garch with neural network for modeling and forecasting time series
由: Pung, Yean Ping
出版: (2021)

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration
由: Taheri, K., et al.
出版: (2017)

Artificial neural network and kalman filter approaches based on arima for daily wind speed forecasting
由: Shukur, Osamah Basheer
出版: (2015)

Forecasting Stock Market Volatility Using Wavelet Transformation Algorithm Of Garch Model
由: Audu, Buba
出版: (2017)

Computerized forecasting model based on artificial neural networks for low income group housing in urban area
由: Zainun, Noor Yasmin
出版: (2004)

Rainfall intensity forecast using ensemble artificial neural network and data fusion for tropical climate
由: Noor Zuraidin, Mohd Safar, et al.
出版: (2020)

Improved of forecasting sea surface temperature based on hybrid arima and support vector machines models
由: Nurul Hila Zainuddin
出版: (2021)

A Comparison On Neural Network Forecasting.
由: Ong, Hong Choon, et al.
出版: (2011)

Comparison of Double Exponential Smoothing for Holt’s Method and Artificial Neural Network in Forecasting the Malaysian Banking Stock Markets
由: Zaini, Bahtiar Jamili, et al.
出版: (2020)

Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH
由: Siti Roslindar, Yaziz, et al.
出版: (2018)

Performance of GARCH models in forecasting stock market volatility.
由: Choo, Wei Chong, et al.
出版: (1999)

An improved bat algorithm with artificial neural networks for classification problems
由: Rehman Gillani, Syed Muhammad Zubair
出版: (2016)

Hybrid Holts-Winter’s model and artificial neural network for short term load data
由: Kamisan, Nur Arina Bazilah, et al.
出版: (2023)

A hybrid singular spectrum analysis and neural networks for forecasting inflow and outflow currency of bank Indonesia
由: Suhartono, Suhartono, et al.
出版: (2019)

Deep neural network for forecasting inflow and outflow in Indonesia
由: Suhartono, Suhartono, et al.
出版: (2019)

Volatility forecasting with the wavelet transformation algorithm GARCH model: Evidence from African stock markets
由: Ismail, Mohd Tahir, et al.
出版: (2016)

Weather forecasting using artificial neural network
由: Wong, Wei Keat
出版: (2014)

Modelling and forecasting volatile data by using ARIMA and GARCH models
由: Miswan, Nor Hamizah
出版: (2013)

Acceleration Strategies For The Backpropagation Neural Network Learning Algorithm
由: Zainuddin, Zarita
出版: (2001)

Multiple linear regression and neural network for electric load forecasting
由: Kamisan, Nur Arina Bazilah
出版: (2017)

Hyperparameter tuning of deep neural network in time series forecasting
由: Xiang, Kelly Pang Li, et al.
出版: (2024)

Hybrid artificial neural network with artificial bee colony algorithm for crime classification
由: Anuar, Syahid, et al.
出版: (2015)

JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
由: Wan Ahmad, Wan Muhamad Amir, et al.
出版: (2016)

Texture recognition by using artificial neural network
由: Foong, Lee Sai
出版: (2013)

A new hybrid genetic algorithm-sarima-artificial neural network in forecasting Malaysian export amount of palm oil
由: Chai, Kah Chun
出版: (2021)

Forecasting volatility of stock indices: Improved GARCH-type models through combined weighted volatility measure and weighted volatility indicators
由: De Khoo, Zhi, et al.
出版: (2024)

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

A new rainfall forecasting model using the CAPSO algorithm and an artificial neural network
由: Beheshti, Z., et al.
出版: (2016)

Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
由: Wee, Wei Joe, et al.
出版: (2023)

Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia
由: Wee W.J., et al.
出版: (2024)