Studying the effect of training Levenberg Marquardt neural network by using hybrid meta-heuristic algorithms
Accelerated Particle Swarm Optimization (APSO) algorithm is one of the latest additions to the group of meta-heuristic nature inspired algorithms which provides derivative-free solutions to solve complex problems. Meanwhile, the Levenberg Marquardt Back propagation (LMBP) still it is not able to...
| Main Authors: | Abubakar, Adamu, Khan, Abdullah, Nawi, Nazri Mohd, Rehman, M. Z., Teh , Ying Wah, Chiroma , Haruna, Herawan, Tutut |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
American Scientific Publishers
2016
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/51019/ http://irep.iium.edu.my/51019/1/Attach_Lavenberg.pdf http://irep.iium.edu.my/51019/4/51019-Studying_the_effect_of_training_levenberg_marquardt_neural_network_by_using_hybrid_meta-heuristic_algorithms_SCOPUS.pdf |
Similar Items
Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
by: Cho, Kar Mun, et al.
Published: (2022)
by: Cho, Kar Mun, et al.
Published: (2022)
Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
by: Cho, Kar Mun, et al.
Published: (2022)
by: Cho, Kar Mun, et al.
Published: (2022)
Levenberg-Marquardt Flood Prediction for Sungai Isap Residence
by: Khoo, Chun Keong, et al.
Published: (2016)
by: Khoo, Chun Keong, et al.
Published: (2016)
Parameter estimation of Stochastic Logistic Model : Levenberg-Marquardt Method
by: Abd. Rahman, Haliza, et al.
Published: (2009)
by: Abd. Rahman, Haliza, et al.
Published: (2009)
Performance of Levenberg-Marquardt Backpropagation for
Full Reference Hybrid Image Quality Metrics
by: Kipli, K., et al.
Published: (2012)
by: Kipli, K., et al.
Published: (2012)
On damping parameters of Levenberg-Marquardt algorithm for nonlinear least square problems
Derivative free Levenberg-Marquardt method for solving fuzzy nonlinear equation
Design and optimization of Levenberg-Marquardt based Neural Network Classifier for EMG signals to identify hand motions
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013)
by: Ibrahimy, Muhammad Ibn, et al.
Published: (2013)
Nonlinear least squares parameter estimation problem using Levenberg-Marquardt method
by: Kaw, Wei Ching, et al.
Published: (2017)
by: Kaw, Wei Ching, et al.
Published: (2017)
Neural Network Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm
by: Chan, Kit Yan, et al.
Published: (2011)
by: Chan, Kit Yan, et al.
Published: (2011)
Joint inversion of porosity for establishing velocity-conductivity relationship by using Levenberg-Marquardt and singular value decomposition
by: Z.Z.Tn., Harith, et al.
Published: (2007)
by: Z.Z.Tn., Harith, et al.
Published: (2007)
A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification
by: Sa'ad, Mohamad Iqbal
Published: (2006)
by: Sa'ad, Mohamad Iqbal
Published: (2006)
On the problem formulation for parameter extraction of the photovoltaic model: novel integration of hybrid evolutionary algorithm and Levenberg Marquardt based on adaptive damping parameter formula
by: Mohammed Ridha, Hussein, et al.
Published: (2022)
by: Mohammed Ridha, Hussein, et al.
Published: (2022)
Recent advances in meta-heuristic algorithms for training multilayer perceptron neural networks
by: Al-Asaady, Maher Talal, et al.
Published: (2025)
by: Al-Asaady, Maher Talal, et al.
Published: (2025)
Estimation of Middle-East oil
consumption using hybrid
meta-heuristic algorithms
by: Haruna, Chiroma, et al.
Published: (2019)
by: Haruna, Chiroma, et al.
Published: (2019)
Soft computing approach for predicting OPEC countries’ oil consumption
by: Chiroma, Haruna, et al.
Published: (2017)
by: Chiroma, Haruna, et al.
Published: (2017)
A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm
by: Haruna, Chiroma, et al.
Published: (2016)
by: Haruna, Chiroma, et al.
Published: (2016)
Dynamics of watermark position in audio watermarked
files using neural networks
by: Abubakar, Adamu, et al.
Published: (2017)
by: Abubakar, Adamu, et al.
Published: (2017)
Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
by: Abubakar, Adamu, et al.
Published: (2019)
by: Abubakar, Adamu, et al.
Published: (2019)
Kernel functions for the support vector machine: comparing performances on crude oil price data
by: Chiroma, Haruna, et al.
Published: (2014)
by: Chiroma, Haruna, et al.
Published: (2014)
Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm
by: Haruna, Chiroma, et al.
Published: (2015)
by: Haruna, Chiroma, et al.
Published: (2015)
Investigating rendering speed and download rate of three-dimension (3D) mobile map intended for navigation aid using genetic algorithm
by: Abubakar, Adamu, et al.
Published: (2014)
by: Abubakar, Adamu, et al.
Published: (2014)
Optimization of neural network using cuckoo search for the classification of diabetes
by: Abubakar, Adamu, et al.
Published: (2015)
by: Abubakar, Adamu, et al.
Published: (2015)
Comparing performances of neural network models
built through transformed and original data
by: Abubakar, Adamu, et al.
Published: (2015)
by: Abubakar, Adamu, et al.
Published: (2015)
Modified neural network activation function
by: Ibrahim, Adamu Abubakar, et al.
Published: (2014)
by: Ibrahim, Adamu Abubakar, et al.
Published: (2014)
Malaria severity classification through Jordan-Elman neural network based on features extracted from thick blood smear
by: Haruna, Chiroma, et al.
Published: (2015)
by: Haruna, Chiroma, et al.
Published: (2015)
An intermediate significant bit (ISB) watermarking technique using neural networks
by: Zeki, Akram M., et al.
Published: (2016)
by: Zeki, Akram M., et al.
Published: (2016)
Investigating digital watermark dynamics on carrier file by feed-forward neural network
by: Zeki, Akram M., et al.
Published: (2013)
by: Zeki, Akram M., et al.
Published: (2013)
Neural networks optimization through genetic algorithm searches: A review
by: Chiroma, Haruna, et al.
Published: (2017)
by: Chiroma, Haruna, et al.
Published: (2017)
Dengue outbreak prediction: hybrid meta-heuristic model
by: Zuriani, Mustaffa, et al.
Published: (2018)
by: Zuriani, Mustaffa, et al.
Published: (2018)
Optimizing three-dimensional (3D) map view on mobile devices as navigation aids using artificial neural network
by: Abubakar, Adamu, et al.
Published: (2013)
by: Abubakar, Adamu, et al.
Published: (2013)
Utilizing modular neural network for prediction of possible
emergencies locations within point of interest of Hajj pilgrimage
by: Abubakar, Adamu, et al.
Published: (2016)
by: Abubakar, Adamu, et al.
Published: (2016)
Hybrid Meta-Heuristic Algorithms For Solving Vehicle Routing Problems
by: Adnan, Sarah Hazwani
Published: (2021)
by: Adnan, Sarah Hazwani
Published: (2021)
Developing novel meta-heuristic, hyper-heuristic and cooperative search for course timetabling problems
by: Henry Obit, Joe
Published: (2010)
by: Henry Obit, Joe
Published: (2010)
A novel algorithm to detect a QPSK signal with the minimum number of samples
by: Mohammed, Saleh, et al.
Published: (2015)
by: Mohammed, Saleh, et al.
Published: (2015)
A review on soft set-based parameter reduction
and decision making
by: Danjuma, Sani, et al.
Published: (2017)
by: Danjuma, Sani, et al.
Published: (2017)
A framework for non-contact ECG signal detection device on smart chair and its implementation
by: Wali, Tuerxun, et al.
Published: (2015)
by: Wali, Tuerxun, et al.
Published: (2015)
A framework for non-contact ECG signal detection device on smart chair and its implementation
by: Waili, Tuerxun, et al.
Published: (2019)
by: Waili, Tuerxun, et al.
Published: (2019)
Time series predictive analysis based on hybridization of meta-heuristic algorithms
by: Zuriani, Mustaffa, et al.
Published: (2018)
by: Zuriani, Mustaffa, et al.
Published: (2018)
Enhancing generality of meta-heuristic algorithms through adaptive selection and hybridization
by: Kamal Z., Zamli
Published: (2018)
by: Kamal Z., Zamli
Published: (2018)
Similar Items
-
Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
by: Cho, Kar Mun, et al.
Published: (2022) -
Performance of Levenberg-Marquardt neural network algorithm in air quality forecasting
by: Cho, Kar Mun, et al.
Published: (2022) -
Levenberg-Marquardt Flood Prediction for Sungai Isap Residence
by: Khoo, Chun Keong, et al.
Published: (2016) -
Parameter estimation of Stochastic Logistic Model : Levenberg-Marquardt Method
by: Abd. Rahman, Haliza, et al.
Published: (2009) -
Performance of Levenberg-Marquardt Backpropagation for
Full Reference Hybrid Image Quality Metrics
by: Kipli, K., et al.
Published: (2012)