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A New Neural Network Training Algorithm Based on Artificial Bee Colony Algorithm for Nonlinear System Identification

https://doi.org/10.3390/math10193487

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Flower Pollination Algorithm for Global Optimization

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A comprehensive survey: artificial bee colony (ABC) algorithm and applications

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A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

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Training a Neural Network for Cyberattack Classification Applications Using Hybridization of an Artificial Bee Colony and Monarch Butterfly Optimization

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A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing

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A hybrid artificial bee colony for a nurse rostering problem

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An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training

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Hybrid Artificial Bee Colony algorithm with Differential Evolution

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A new hybrid optimization method combining artificial bee colony and limited-memory BFGS algorithms for efficient numerical optimization

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A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources

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Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

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Estimates of hydroelectric generation using neural networks with the artificial bee colony algorithm for Turkey

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Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications

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Marine Predators Algorithm: A nature-inspired metaheuristic

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RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

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Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

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INFO: An efficient optimization algorithm based on weighted mean of vectors

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Slime mould algorithm: A new method for stochastic optimization

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State-of-the-art in artificial neural network applications: A survey

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A critical survey on proton exchange membrane fuel cell parameter estimation using meta-heuristic algorithms

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Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms

inferredcites →https://doi.org/10.1016/j.jocs.2018.06.008openalex-snapshot

A hybrid grey wolf optimizer and artificial bee colony algorithm for enhancing the performance of complex systems

inferredcites →https://doi.org/10.1016/j.knosys.2019.105190openalex-snapshot

Equilibrium optimizer: A novel optimization algorithm

inferredcites →https://doi.org/10.1016/j.neucom.2019.04.086openalex-snapshot

Training Feed-Forward Artificial Neural Networks with a modified artificial bee colony algorithm

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A survey on population-based meta-heuristic algorithms for motion planning of aircraft

inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot

Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

inferredcites →https://doi.org/10.1088/1742-6596/1362/1/012074openalex-snapshot

Review of Meta-Heuristic Optimization based Artificial Neural Networks and its Applications

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/nabic.2009.5393690openalex-snapshot

Cuckoo Search via Lévy flights

inferredcites →https://doi.org/10.1109/siu.2007.4298679openalex-snapshot

Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural Networks

inferredcites →https://doi.org/10.1109/tevc.2014.2355174openalex-snapshot

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

inferredcites →https://doi.org/10.1142/s012906571000222xopenalex-snapshot

A HYBRID ARTIFICIAL BEE COLONY OPTIMIZATION AND QUANTUM EVOLUTIONARY ALGORITHM FOR CONTINUOUS OPTIMIZATION PROBLEMS

inferredcites →https://doi.org/10.1145/3397161openalex-snapshot

A Hybrid Feature Selection Algorithm Based on a Discrete Artificial Bee Colony for Parkinson's Diagnosis

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Artificial Neural Network Weight Optimization: A Review

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Meta-heuristic Techniques to Train Artificial Neural Networks for Medical Image Classification: A Review

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Multi-Objective Optimal Power Flow Solution Using a Non-Dominated Sorting Hybrid Fruit Fly-Based Artificial Bee Colony

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

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A Quick Gbest Guided Artificial Bee Colony Algorithm for Stock Market Prices Prediction

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Obtaining More Accurate Thermal Boundary Conditions of Machine Tool Spindle Using Response Surface Model Hybrid Artificial Bee Colony Algorithm

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A Novel Neural Network Training Algorithm for the Identification of Nonlinear Static Systems: Artificial Bee Colony Algorithm Based on Effective Scout Bee Stage

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Artificial bee colony algorithm

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Optimal Control of an Autonomous Microgrid Integrated with Super Magnetic Energy Storage Using an Artificial Bee Colony Algorithm

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