Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression

QR Code

Energy band gap modeling of doped bismuth ferrite multifunctional material using gravitational search algorithm optimized support vector regression

Bismuth ferrite (BiFeO3) is a promising multiferroic and multifunctional inorganic chemical compound with many fascinating application potentials in sensors, photo-catalysis, optical devices, spintronics, and information storage, among others. This class of material has special advantages in the pho...

Full description

Bibliographic Details
Main Authors:	Owolabi, Taoreed O., Abd Rahman, Mohd Amiruddin
Format:	Article
Language:	English
Published:	Multidisciplinary Digital Publishing Institute 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/97075/ http://psasir.upm.edu.my/id/eprint/97075/1/ABSTRACT.pdf

Similar Items

Modeling the optical properties of a polyvinyl alcohol-based composite using a particle swarm optimized support vector regression algorithm
by: Abd Rahman, Mohd Amiruddin, et al.
Published: (2021)

Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems
by: Zuwairie, Ibrahim, et al.
Published: (2012)

Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
by: Badaruddin, Muhammad, et al.
Published: (2014)

Co-regularised support vector regression
by: Ullrich, Katrin, et al.
Published: (2017)

Modification Of Bismuth Ferrite Through Calcium- And Copper-Doping For Enhanced Antibiotics Removal Via Catalytic Peroxymonosulfate Activation
by: Koo, Pooi Ling
Published: (2023)

Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems
by: Badaruddin, Muhammad, et al.
Published: (2016)

Performance and Diversity of Gravitational Search Algorithm
by: Nor Azlina, Ab. Aziz, et al.
Published: (2014)

Tailoring the energy harvesting capacity of zinc selenide semiconductor nanomaterial through optical band gap modeling using genetically optimized intelligent method
by: Olubosede, Olusayo, et al.
Published: (2021)

Is gravitational search algorithm's initial gravitational constant a function dependent parameter?
by: Nor Azlina, Ab. Aziz Nor, et al.
Published: (2018)

Simple preparation and characterization of bismuth ferrites nanoparticles by thermal treatment method
by: Zahari, R. M., et al.
Published: (2017)

Influence of Nd and Er substitution on magnetic and dielectric properties of bismuth ferrite
by: Anuar, Amir
Published: (2014)

Adaptive Switching Gravitational Search Algorithm: An Attempt To Improve Diversity Of Gravitational Search Algorithm Through Its Iteration Strategy
by: Nor Azlina, Ab. Aziz, et al.
Published: (2017)

Gravitational Search Algorithm for Assembly Sequence Planning
by: Ismail, Ibrahim, et al.
Published: (2014)

A fast discrete gravitational search algorithm
by: Hasrul, Che Shamsudin, et al.
Published: (2012)

Fixed parameters Support Vector Regression for outlier detection
by: Rana, Sohel, et al.
Published: (2018)

Structural, electrical and magnetic properties of bismuth ferrite ceramics substituted with yttrium and indium
by: Najm, Ammar Abd Ali
Published: (2016)

Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2020)

Modelling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2020)

Characterisation of bismuth-based erbium-doped fibre and its application in wide-band optical amplifiers / Nizam Tamchek.
by: Tamchek, Nizam
Published: (2009)

Synthesis of bismuth vanadate and copper-doped bismuth vanadate as visible light photocatalysts
by: Mohd Ali, Norsalinda
Published: (2010)

Elastic net for single index support vector regression model
by: Dhhan, Waleed, et al.
Published: (2017)

A hybrid technique for selecting support vector regression parameters based on a practical selection method and grid search procedure
by: Rana, Sohel, et al.
Published: (2016)

Compact and wide-band bismuth-based erbium-doped fibre amplifier based on two-stage and double-pass approaches
by: Cheng, X.S., et al.
Published: (2012)

Doping mechanism and dielectric properties of bismuth tantalates
by: Manshor, Azlini, et al.
Published: (2009)

Robust support vector regression model in the presence of outliers and leverage points
by: Dhhan, Waleed, et al.
Published: (2017)

Finding kernel function for stock market prediction with support vector regression
by: Chai, Chon Lung
Published: (2006)

Versatile directional searches for gravitational waves with Pulsar Timing Arrays
by: Madison, D., et al.
Published: (2016)

First searches for optical counterparts to gravitational-wave candidate events
by: The LIGO Scientific Collaboration, et al.
Published: (2014)

A Modified Gravitational Search Algorithm for Discrete Optimization Problem
by: Zuwairie, Ibrahim, et al.
Published: (2014)

A New Hybrid Gravitational Search- Black Hole Algorithm
by: Suad Khairi, Mohammed, et al.
Published: (2016)

Task scheduling on computational grids using Gravitational Search Algorithm
by: Zarrabi, Amirreza, et al.
Published: (2014)

Enhancement of Gain in L-Band Bismuth-Based Erbium-Doped Fibre Amplifier Using an Un-pumped EDF and Midway Isolator
by: Chong, W. Y, et al.
Published: (2004)

Does a "stochastic" background of gravitational waves exist in the pulsar timing band?
by: Ravi, V., et al.
Published: (2012)

Reference tag supported RFID tracking using robust support vector regression and Kalman filter
by: Chai, J., et al.
Published: (2017)

Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2018)

Electromagnetic band gap (EBG) structure
by: Nurliyana, binti Hussaini
Published: (2012)

Support vector regression based friction modeling and compensation in motion control system
by: Tijani, Ismaila, et al.
Published: (2012)

Smooth support vector regression (SSVR) modelling of self-compacting concrete properties
by: Hadiwidodo, Yoyok Setyo
Published: (2013)

Improved nu-support vector regression algorithm based on principal component analysis
by: Abdullah Mohammed, Rashid, et al.
Published: (2023)

Detection of outliers in high-dimensional data using nu-support vector regression
by: Mohammed Rashid, Abdullah, et al.
Published: (2021)