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A Comprehensive Comparison of the Performance of Metaheuristic Algorithms in Neural Network Training for Nonlinear System Identification

https://doi.org/10.3390/math10091611
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Process Modeling, Identification Methods, and Control Schemes for Nonlinear Physical Systems – A Comprehensive Review
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Neural Network Training Using a Biogeography-Based Learning Strategy
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A New Metaheuristic Bat-Inspired Algorithm
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Flower Pollination Algorithm for Global Optimization
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Salp Swarm Algorithm (SSA) for Training Feed-Forward Neural Networks
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Emerging Technologies in Data Mining and Information Security
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A new approach for intrusion detection system based on training multilayer perceptron by using enhanced Bat algorithm
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Advanced metaheuristic optimization techniques in applications of deep neural networks: a review
inferredcites →https://doi.org/10.1007/s10462-012-9328-0openalex-snapshot
A comprehensive survey: artificial bee colony (ABC) algorithm and applications
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Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
inferredcites →https://doi.org/10.1007/s10462-018-9624-4openalex-snapshot
Flower pollination algorithm: a comprehensive review
inferredcites →https://doi.org/10.1007/s10586-019-02913-5openalex-snapshot
Evolving neural networks using bird swarm algorithm for data classification and regression applications
inferredcites →https://doi.org/10.1007/s13369-018-3562-yopenalex-snapshot
Training ANFIS by Using an Adaptive and Hybrid Artificial Bee Colony Algorithm (aABC) for the Identification of Nonlinear Static Systems
inferredcites →https://doi.org/10.1007/s40096-020-00327-8openalex-snapshot
Spam detection through feature selection using artificial neural network and sine–cosine algorithm
inferredcites →https://doi.org/10.1016/j.advengsoft.2016.01.008openalex-snapshot
The Whale Optimization Algorithm
inferredcites →https://doi.org/10.1016/j.advengsoft.2017.07.002openalex-snapshot
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
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Analysis of 7-years Radon time series at Campi Flegrei area (Naples, Italy) using artificial neural network method
inferredcites →https://doi.org/10.1016/j.asoc.2007.05.006openalex-snapshot
Application of evolving Takagi–Sugeno fuzzy model to nonlinear system identification
inferredcites →https://doi.org/10.1016/j.asoc.2007.05.007openalex-snapshot
On the performance of artificial bee colony (ABC) algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2008.11.001openalex-snapshot
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods
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A differential evolution based neural network approach to nonlinear system identification
inferredcites →https://doi.org/10.1016/j.asoc.2015.08.002openalex-snapshot
Optimization of neural network model using modified bat-inspired algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2016.07.039openalex-snapshot
An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training
inferredcites →https://doi.org/10.1016/j.asoc.2020.106275openalex-snapshot
Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
inferredcites →https://doi.org/10.1016/j.cad.2010.12.015openalex-snapshot
Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems
inferredcites →https://doi.org/10.1016/j.catena.2018.10.004openalex-snapshot
A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil
inferredcites →https://doi.org/10.1016/j.cma.2004.09.007openalex-snapshot
A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
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Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
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Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey
inferredcites →https://doi.org/10.1016/j.engappai.2011.07.006openalex-snapshot
Training neural networks with harmony search algorithms for classification problems
inferredcites →https://doi.org/10.1016/j.engappai.2017.01.013openalex-snapshot
Metaheuristic design of feedforward neural networks: A review of two decades of research
inferredcites →https://doi.org/10.1016/j.envsoft.2019.06.014openalex-snapshot
A review of artificial neural network models for ambient air pollution prediction
inferredcites →https://doi.org/10.1016/j.eswa.2013.10.053openalex-snapshot
Artificial Neural Network trained by Particle Swarm Optimization for non-linear channel equalization
inferredcites →https://doi.org/10.1016/j.ifacol.2018.07.326openalex-snapshot
Non-linear system modeling using LSTM neural networks
inferredcites →https://doi.org/10.1016/j.knosys.2015.12.022openalex-snapshot
SCA: A Sine Cosine Algorithm for solving optimization problems
inferredcites →https://doi.org/10.1016/j.neucom.2015.08.068openalex-snapshot
Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization
inferredcites →https://doi.org/10.1016/j.neucom.2015.12.030openalex-snapshot
Stable ANFIS2 for Nonlinear System Identification
inferredcites →https://doi.org/10.1016/j.neucom.2018.07.080openalex-snapshot
A survey on metaheuristic optimization for random single-hidden layer feedforward neural network
inferredcites →https://doi.org/10.1016/j.procs.2010.12.048openalex-snapshot
Self-adaptive global best harmony search algorithm for training neural networks
inferredcites →https://doi.org/10.1016/j.resourpol.2019.02.014openalex-snapshot
Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm
inferredcites →https://doi.org/10.1016/j.solener.2019.01.037openalex-snapshot
Modeling of solar energy systems using artificial neural network: A comprehensive review
inferredcites →https://doi.org/10.1016/s0165-1684(00)00231-0openalex-snapshot
A bibliography on nonlinear system identification
inferredcites →https://doi.org/10.1080/00051144.2019.1637173openalex-snapshot
A novel power optimized hybrid renewable energy system using neural computing and bee algorithm
inferredcites →https://doi.org/10.1080/0952813x.2015.1042530openalex-snapshot
A new bio-inspired optimisation algorithm: Bird Swarm Algorithm
inferredcites →https://doi.org/10.1080/09720502.2020.1833447openalex-snapshot
Prediction of Covid-19 trends in Europe using generalized regression neural network optimized by flower pollination algorithm
inferredcites →https://doi.org/10.1080/15567249.2019.1653405openalex-snapshot
Application of Jaya algorithm-trained artificial neural networks for prediction of energy use in the nation of Turkey
inferredcites →https://doi.org/10.1109/72.508939openalex-snapshot
Comparison of adaptive methods for function estimation from samples
inferredcites →https://doi.org/10.1109/access.2019.2914251openalex-snapshot
Forecasting Short-Term Wind Speed Based on IEWT-LSSVM Model Optimized by Bird Swarm Algorithm
inferredcites →https://doi.org/10.1109/cec.2011.5949602openalex-snapshot
Hybrid Artificial Bee Colony algorithm for neural network training
inferredcites →https://doi.org/10.1109/icecta.2017.8252039openalex-snapshot
On the performance of artificial neural network with sine-cosine algorithm in forecasting electricity load demand
inferredcites →https://doi.org/10.1109/nabic.2009.5393690openalex-snapshot
Cuckoo Search via Lévy flights
inferredcites →https://doi.org/10.1109/tcsvt.2019.2910119openalex-snapshot
Image and Video Compression With Neural Networks: A Review
inferredcites →https://doi.org/10.1109/tevc.2008.919004openalex-snapshot
Biogeography-Based Optimization
inferredcites →https://doi.org/10.11114/aef.v8i3.5195openalex-snapshot
Prediction of Stock Market Index Using a Hybrid Technique of Artificial Neural Networks and Particle Swarm Optimization
inferredcites →https://doi.org/10.1145/3231053.3231070openalex-snapshot
Training neural networks using Salp Swarm Algorithm for pattern classification
inferredcites →https://doi.org/10.1146/annurev-control-053018-023744openalex-snapshot
System Identification: A Machine Learning Perspective
inferredcites →https://doi.org/10.15352/bjma/1337014661openalex-snapshot
Convex majorants method in the theory of nonlinear Volterra equations
inferredcites →https://doi.org/10.17694/bajece.932391openalex-snapshot
A Novel Approach Based to Neural Network and Flower Pollination Algorithm to Predict Number of COVID-19 Cases
inferredcites →https://doi.org/10.30638/eemj.2018.127openalex-snapshot
FORECASTING LONG TERM PRECIPITATION USING CUCKOO SEARCH OPTIMIZATION NEURAL NETWORK MODELS
inferredcites →https://doi.org/10.3233/fi-2017-1487openalex-snapshot
Abnormal Breast Detection in Mammogram Images by Feed-forward Neural Network Trained by Jaya Algorithm
inferredcites →https://doi.org/10.3390/sym13030419openalex-snapshot
A Novel Neural Network Training Algorithm for the Identification of Nonlinear Static Systems: Artificial Bee Colony Algorithm Based on Effective Scout Bee Stage
inferredcites →https://doi.org/10.3906/elk-1601-240openalex-snapshot
Training ANFIS by using the artificial bee colony algorithm
inferredcites →https://doi.org/10.5121/ijaia.2011.2304openalex-snapshot
Improved Cuckoo Search Algorithm for Feed forward Neural Network Training
inferredcites →https://doi.org/10.5267/j.ijiec.2015.8.004openalex-snapshot
Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems

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