An improved artificial fish-swarm algorithm and its application in feed-forward neural networks

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527436 ◽

2005 ◽

Author(s):

Cui-Ru Wang ◽

Chun-Lei Zhou ◽

Jian-Wei Ma

Keyword(s):

Neural Networks ◽

Feed Forward ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Feed Forward Neural Networks ◽

Swarm Algorithm

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Salp Swarm Algorithm (SSA) for Training Feed-Forward Neural Networks

Advances in Intelligent Systems and Computing - Soft Computing for Problem Solving ◽

10.1007/978-981-13-1592-3_41 ◽

2018 ◽

pp. 521-534 ◽

Author(s):

Divya Bairathi ◽

Dinesh Gopalani

Keyword(s):

Neural Networks ◽

Feed Forward ◽

Salp Swarm Algorithm ◽

Feed Forward Neural Networks ◽

Swarm Algorithm

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Numerical optimization and feed-forward neural networks training using an improved optimization algorithm: multiple leader salp swarm algorithm

Evolutionary Intelligence ◽

10.1007/s12065-019-00269-8 ◽

2019 ◽

Author(s):

Divya Bairathi ◽

Dinesh Gopalani

Keyword(s):

Neural Networks ◽

Optimization Algorithm ◽

Numerical Optimization ◽

Feed Forward ◽

Salp Swarm Algorithm ◽

Feed Forward Neural Networks ◽

Swarm Algorithm

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Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

Knowledge-Based Systems ◽

10.1016/j.knosys.2010.11.001 ◽

2011 ◽

Vol 24 (3) ◽

pp. 378-385 ◽

Author(s):

Wei Shen ◽

Xiaopen Guo ◽

Chao Wu ◽

Desheng Wu

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Artificial Fish Swarm Algorithm ◽

Stock Indices ◽

Radial Basis ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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Development of Sorting System for Fishes by Feed-forward Neural Networks Using Rotation Invariant Features

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.131.404 ◽

2011 ◽

Vol 131 (2) ◽

pp. 404-410 ◽

Author(s):

Yuhki Shiraishi ◽

Fumiaki Takeda

Keyword(s):

Neural Networks ◽

Rotation Invariant ◽

Feed Forward ◽

Invariant Features ◽

Feed Forward Neural Networks ◽

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Modified Artificial Fish Swarm Algorithm for Efficient Task Scheduling in Cloud Environment

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.13631371 ◽

2019 ◽

Vol 7 (5) ◽

pp. 1363-1371

Author(s):

H. Krishnaveni ◽

V. Sinthu Janita

Keyword(s):

Task Scheduling ◽

Cloud Environment ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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PERFORMANCE EVALUATION OF CULTURAL ARTIFICIAL BEE COLONY AND CULTURAL ARTIFICIAL FISH SWARM ALGORITHM

i-manager s Journal on Computer Science ◽

10.26634/jcom.6.4.15725 ◽

2019 ◽

Vol 6 (4) ◽

pp. 43

Author(s):

HADIR ADEBIYI BUSAYO ◽

TIJANI SALAWUDEEN AHMED ◽

FOLASHADE O. ADEBIYI RISIKAT ◽

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...

Keyword(s):

Performance Evaluation ◽

Artificial Bee Colony ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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Optimal solution to distribution decision problem of distribution centre by artificial fish swarm algorithm

Journal of Computer Applications ◽

10.3724/sp.j.1087.2011.01652 ◽

2012 ◽

Vol 31 (6) ◽

pp. 1652-1655

Author(s):

Jin-cheng FANG ◽

Qi-shan ZHANG

Keyword(s):

Decision Problem ◽

Optimal Solution ◽

Artificial Fish Swarm Algorithm ◽

Distribution Centre ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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Improved artificial fish swarm algorithm based on social learning mechanism

Journal of Computer Applications ◽

10.3724/sp.j.1087.2013.01305 ◽

2013 ◽

Vol 33 (5) ◽

pp. 1305-1307 ◽

Author(s):

Yanbin ZHENG ◽

Jingjing LIU ◽

Ning WANG

Keyword(s):

Social Learning ◽

Learning Mechanism ◽

Artificial Fish Swarm Algorithm ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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Two-Step Inversion Method for NMR Relaxometry Data Using Norm Smoothing and Artificial Fish Swarm Algorithm

Applied Magnetic Resonance ◽

10.1007/s00723-021-01403-5 ◽

2021 ◽

Author(s):

Mingxuan Gu ◽

Ranhong Xie ◽

Lizhi Xiao

Keyword(s):

Inversion Method ◽

Artificial Fish Swarm Algorithm ◽

Nmr Relaxometry ◽

Artificial Fish Swarm ◽

Swarm Algorithm

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Air quality prediction in Milan: feed-forward neural networks, pruned neural networks and lazy learning

Ecological Modelling ◽

10.1016/j.ecolmodel.2005.01.008 ◽

2005 ◽

Vol 185 (2-4) ◽

pp. 513-529 ◽

Author(s):

Giorgio Corani

Keyword(s):

Neural Networks ◽

Air Quality ◽

Quality Prediction ◽

Lazy Learning ◽

Feed Forward ◽

Air Quality Prediction ◽

Feed Forward Neural Networks

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