Forecasting Performance Of Cascade Forward Back Propagation Neural Network For Data With Outliers

Dalam kajian ini, satu rangkaian neural berasaskan pengelompokan telah dibangunkan untuk menyiasat dan membandingkan prestasinya dengan teknik-teknik pe- modelan lain bagi kes penyimpangan andaian berkaitan hubungan homoskedastik dalam set data In this research, a clustering based neural network...

Description complète

Détails bibliographiques
Auteur principal:	Mamuda, Mamman
Format:	Thèse
Langue:	anglais
Publié:	2017
Sujets:	QA1 Mathematics (General)
Accès en ligne:	http://eprints.usm.my/38638/
Abstract	Abstract here

Documents similaires

The application of back propagation neural network in the prognosis of breast cancer / Hazlina Hamdan
par: Hazlina , Hamdan
Publié: (2004)

Bayesian Forecasting Model For Inflation Data
par: Zul Amry, Zul Amry
Publié: (2015)

Outlier detection in circular data and circular-circular regression model / Adzhar Rambli
par: Adzhar, Rambli
Publié: (2011)

Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture
par: ., Mukhtar
Publié: (2023)

Adaptive grid-meshed-buffer clustering algorithm for outlier detection in evolving data stream
par: Abdulateef, Alaa Fareed
Publié: (2023)

An Adaptive Outlier Detection For Scatter Points Of Unascertained Models
par: Davinna Jeremiah, Davinna Jeremiah
Publié: (2016)

Modeling And Detecting Of Outlier Values In The Saudi Stock Exchange
par: Abdullah M, Rashedi Khudhayr
Publié: (2023)

Outlier detection in cylindrical data / Nurul Hidayah Sadikon
par: Nurul Hidayah , Sadikon
Publié: (2018)

Model Building And Forecasting Of Climate Data For Tourism Area In Bangladesh
par: Hossen, Sayed Mohibul
Publié: (2022)

Malay children vowel recognition using feed-forward back propagation and Elman neural networks / Bashar Mohammed Shaher Yafouz
par: Shaher Yafouz, Bashar Mohammed
Publié: (2011)

Multi layer feed forward artificial neural network for learning styles identification
par: Bayasut, Bilal Luqman
Publié: (2015)

Outliers And Structural Breaks Detection In Autoregressive Model By Indicator Saturation Approach
par: Mohammad Nasir, Muhammad Azim
Publié: (2020)

Forecasting Performance Of Nonlinear And Nonstationary Stock Market Data Using Empirical Mode Decomposition
par: Awajan, Ahmad Mohammad Al-Abd
Publié: (2018)

Three-term back propagation neural network for moisture prediction
par: Said Jadid Abdulkadir
Publié: (2025)

Water level forecasting using feed forward neural networks optimized by African Buffalo Algorithm (ABO)
par: Ahmed, Ehab Ali
Publié: (2019)

Some problems of outliers in circular data / Ali H.M. Abuzaid
par: Abuzaid, Ali H.M.
Publié: (2010)

Improving Forecasting Accuracy For Time Series Data Using Fuzzy Techniques And Wavelet Transform
par: Hobaykan A, Alenezy Abdullah
Publié: (2025)

Detection Of Outliers And Structural Breaks In Structural Time Series Model Using Indicator Saturation Approach
par: Rose, Farid Zamani Che
Publié: (2023)

Parameter estimation and outlier detection for some types of circular model
par: Siti Zanariah, Satari
Publié: (2015)

Optimization Methods In Training Neural Networks
par: Sathasivam, Saratha
Publié: (2003)

Chinese hotel preference value based on back-propagation neural network
par: Xue, Ren
Publié: (2026)

A neural network modal decomposition mechanism in predicting network traffic
par: Shi Jinmei
Publié: (2023)

Detecting outliers and influential observations in survival model / Nor Akmal Bt. Md Noh
par: Md Noh, Nor Akmal
Publié: (2010)

Modifying maximum likelihood test for solving singularity and outlier problems in high dimensional cases
par: Hafeez, Ahmad
Publié: (2021)

Logic Programming In Radial Basis Function Neural Networks
par: Hamadneh, Nawaf
Publié: (2013)

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

An Improved Wavelet Neural Network For Classification And Function Approximation
par: Ong , Pauline
Publié: (2011)

Genetic algorithm optimized back propagation neural network for knee osteoarthritis classification
par: Koh, Jian Wei
Publié: (2025)

Estimation of parameters and outlier detection in replicated linear functional relationship model / Azuraini Mohd Arif
par: Azuraini , Mohd Arif
Publié: (2023)

An Enhanced Wavelet Neural Network Model For Epileptic Seizure Detection And Prediction
par: Lai , Kee Huong
Publié: (2016)

Y-type Random 2-satisfiability In Discrete Hopfield Neural Network
par: Guo, Yueling
Publié: (2024)

The effect of data preprocessing on the performance of artificial neural networks techniques for classification problems
par: Atomi, Walid Hasen
Publié: (2012)

Hybrid Ant Colony Optimization For Two Satisfiability Programming In Hopfield Neural Network
par: Kho, Liew Ching
Publié: (2019)

Simulation Of Generation, Propagation And Runup Due To The 26 December 2004 Andaman Tsunami.
par: Kew, Lee Ming
Publié: (2009)

An enhanced face detection method using skin color and back-propagation neural network
par: Mansaf M Saleh Solman (P49072)
Publié: (2023)

Statistical Modelling For Forecasting Pm10 Concentrations In Peninsular Malaysia
par: Ng, Kar Yong
Publié: (2017)

Enhanced Hopfield Neural Networks With Artificial Immune System Algorithm For Satisfiability Logic Programming
par: Mansor, Mohd. Asyraf
Publié: (2017)

Modeling K-Factors Analysis in Design Of Experiment (Doe) Towards Regression Approach Using Multilayer Feed-Forward Neural Network (MLFF): Its’ Application In Biostatistics
par: Qadir, Soban
Publié: (2022)

An Improved Training Method For Wavelet Neural Networks For Solving Ordinary And Partial Differential Equations
par: Tan, Lee Sen
Publié: (2022)

A Hybrid Neural Network - Hidden Markov Model - Fuzzy Logic Method For Protein Classification
par: Chew, Martin Wooi Keat
Publié: (2007)