Designing Neural Networks Using Hybrid Particle Swarm Optimization

Advances in Neural Networks — ISNN 2005 - Lecture Notes in Computer Science ◽

10.1007/11427391_62 ◽

2005 ◽

pp. 391-397 ◽

Author(s):

Bo Liu ◽

Ling Wang ◽

Yihui Jin ◽

Dexian Huang

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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Automatic selection of hidden neurons and weights in neural networks for data classification using hybrid particle swarm optimization, multi-verse optimization based on Lévy flight

Evolutionary Intelligence ◽

10.1007/s12065-021-00579-w ◽

2021 ◽

Author(s):

Rabab Bousmaha ◽

Reda Mohamed Hamou ◽

Abdelmalek Amine

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Data Classification ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Automatic Selection ◽

Hidden Neurons ◽

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Identification and Modeling of a Yeast Fermentation Bioreactor Using Hybrid Particle Swarm Optimization-Artificial Neural Networks

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2011.592903 ◽

2014 ◽

Vol 36 (14) ◽

pp. 1604-1611 ◽

Author(s):

R. Nasimi ◽

R. Irani

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Artificial Neural Networks ◽

Particle Swarm ◽

Yeast Fermentation ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Artificial Neural

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Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm

Applied Mathematics and Computation ◽

10.1016/j.amc.2012.04.069 ◽

2012 ◽

Vol 218 (22) ◽

pp. 11125-11137 ◽

Author(s):

SeyedAli Mirjalili ◽

Siti Zaiton Mohd Hashim ◽

Hossein Moradian Sardroudi

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Particle Swarm ◽

Feedforward Neural Networks ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Gravitational Search

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Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

Measurement ◽

10.1016/j.measurement.2014.09.075 ◽

2015 ◽

Vol 60 ◽

pp. 50-63 ◽

Author(s):

Ehsan Momeni ◽

Danial Jahed Armaghani ◽

Mohsen Hajihassani ◽

Mohd For Mohd Amin

Keyword(s):

Neural Networks ◽

Compressive Strength ◽

Particle Swarm Optimization ◽

Artificial Neural Networks ◽

Uniaxial Compressive Strength ◽

Particle Swarm ◽

Swarm Optimization ◽

Hybrid Particle ◽

Rock Samples ◽

Hybrid Particle Swarm Optimization

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Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm

Neurocomputing ◽

10.1016/j.neucom.2012.10.043 ◽

2015 ◽

Vol 148 ◽

pp. 136-142 ◽

Author(s):

Jiansheng Wu ◽

Jin Long ◽

Mingzhe Liu

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Rbf Neural Networks ◽

Swarm Optimization ◽

Hybrid Particle ◽

Rainfall Prediction ◽

Hybrid Particle Swarm Optimization

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A hybrid particle swarm optimization and its application in neural networks

Expert Systems with Applications ◽

10.1016/j.eswa.2011.07.028 ◽

2012 ◽

Vol 39 (1) ◽

pp. 395-405 ◽

Author(s):

S.Y.S. Leung ◽

Yang Tang ◽

W.K. Wong

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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Training of feedforward neural networks for data classification using hybrid particle swarm optimization, Mantegna Lévy flight and neighborhood search

Heliyon ◽

10.1016/j.heliyon.2019.e01275 ◽

2019 ◽

Vol 5 (4) ◽

pp. e01275 ◽

Author(s):

Omid Tarkhaneh ◽

Haifeng Shen

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Data Classification ◽

Feedforward Neural Networks ◽

Neighborhood Search ◽

Lévy Flight ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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Improved Parallel Reactive Hybrid Particle Swarm Optimization using Improved Neighborhood Schedule Generation Method for the Integrated Framework of Optimal Production Scheduling and Operational Planning of an Energy Plant in a Factory

IEEJ Transactions on Industry Applications ◽

10.1541/ieejias.139.1005 ◽

2019 ◽

Vol 139 (12) ◽

pp. 1005-1014

Author(s):

Shuhei Kawaguchi ◽

Yoshikazu Fukuyama

Keyword(s):

Particle Swarm Optimization ◽

Production Scheduling ◽

Particle Swarm ◽

Operational Planning ◽

Swarm Optimization ◽

Optimal Production ◽

Hybrid Particle ◽

Integrated Framework ◽

Hybrid Particle Swarm Optimization ◽

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Hybrid Particle Swarm Optimization Algorithm for VLSI Circuit Partitioning

Journal of Software ◽

10.3724/sp.j.1001.2011.03980 ◽

2011 ◽

Vol 22 (5) ◽

pp. 833-842 ◽

Author(s):

Wen-Zhong GUO ◽

Guo-Long CHEN ◽

XIONG Naixue ◽

Shao-Jun PENG

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Vlsi Circuit ◽

Circuit Partitioning ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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Production scheduling optimization method based on hybrid particle swarm optimization algorithm

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-169389 ◽

2018 ◽

Vol 34 (2) ◽

pp. 955-964 ◽

Author(s):

Jianren Shang ◽

Yunnan Tian ◽

Yi Liu ◽

Runlong Liu

Keyword(s):

Particle Swarm Optimization ◽

Optimization Algorithm ◽

Production Scheduling ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Optimization Method ◽

Scheduling Optimization ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization

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