Artificial Bee Colony Training of Neural Networks

Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) - Studies in Computational Intelligence ◽

10.1007/978-3-319-01692-4_15 ◽

2014 ◽

pp. 191-201 ◽

Author(s):

John A. Bullinaria ◽

Khulood AlYahya

Keyword(s):

Neural Networks ◽

Artificial Bee Colony ◽

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Optimization Artificial Neural Network Using Artificial Bee Colony in Letter Recognition Classification

JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) ◽

10.24843/jlk.2020.v08.i04.p13 ◽

2020 ◽

Vol 8 (4) ◽

pp. 469

Author(s):

I Gusti Ngurah Alit Indrawan ◽

I Made Widiartha

Keyword(s):

Neural Network ◽

Neural Networks ◽

Artificial Neural Networks ◽

Classification Accuracy ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Letter Recognition ◽

Artificial Neural ◽

Artificial Neural Networks or commonly abbreviated as ANN is one branch of science from the field of artificial intelligence which is often used to solve various problems in fields that involve grouping and pattern recognition. This research aims to classify Letter Recognition datasets using Artificial Neural Networks which are weighted optimally using the Artificial Bee Colony algorithm. The best classification accuracy results from this study were 92.85% using a combination of 4 hidden layers with each hidden layer containing 10 neurons.

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A Novel Approach for the Classification of Leukemia Using Artificial Bee Colony Optimization Technique and Back-Propagation Neural Networks

Proceedings of 2nd International Conference on Communication, Computing and Networking - Lecture Notes in Networks and Systems ◽

10.1007/978-981-13-1217-5_68 ◽

2018 ◽

pp. 685-694

Author(s):

Rudrani Sharma ◽

Rakesh Kumar

Keyword(s):

Neural Networks ◽

Artificial Bee Colony ◽

Optimization Technique ◽

Back Propagation ◽

Artificial Bee Colony Optimization ◽

Back Propagation Neural Networks ◽

Novel Approach ◽

Bee Colony Optimization

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Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony

Granular Computing ◽

10.1007/s41066-018-00143-5 ◽

2018 ◽

Vol 4 (4) ◽

pp. 639-654 ◽

Author(s):

Erol Egrioglu ◽

Ufuk Yolcu ◽

Eren Bas

Keyword(s):

Neural Networks ◽

Time Series ◽

Artificial Neural Networks ◽

Artificial Bee Colony ◽

Time Series Forecasting ◽

Fuzzy Time Series ◽

Forecasting Method ◽

Artificial Neural

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Application of a Hybrid System of Probabilistic Neural Networks and Artificial Bee Colony Algorithm for Prediction of Brand Share in the Market

Industrial Engineering & Management Systems ◽

10.7232/iems.2016.15.4.324 ◽

2016 ◽

Vol 15 (4) ◽

pp. 324-334

Author(s):

Jamal Shahrabi ◽

Sara Mottaghi Khameneh

Keyword(s):

Neural Networks ◽

Hybrid System ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Probabilistic Neural Networks ◽

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Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration

Irrigation Science ◽

10.1007/s00271-010-0254-0 ◽

2010 ◽

Vol 29 (6) ◽

pp. 431-441 ◽

Author(s):

Coskun Ozkan ◽

Ozgur Kisi ◽

Bahriye Akay

Keyword(s):

Neural Networks ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Reference Evapotranspiration ◽

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A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms

Neurocomputing ◽

10.1016/j.neucom.2017.05.061 ◽

2017 ◽

Vol 266 ◽

pp. 506-526 ◽

Author(s):

Hasan Badem ◽

Alper Basturk ◽

Abdullah Caliskan ◽

Mehmet Emin Yuksel

Keyword(s):

Neural Networks ◽

Artificial Bee Colony ◽

Deep Neural Networks ◽

Optimization Algorithms ◽

Training Strategy ◽

Limited Memory ◽

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Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-73729-2_30 ◽

2007 ◽

pp. 318-329 ◽

Author(s):

Dervis Karaboga ◽

Bahriye Akay ◽

Celal Ozturk

Keyword(s):

Neural Networks ◽

Optimization Algorithm ◽

Artificial Bee Colony ◽

Feed Forward ◽

Feed Forward Neural Networks

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Development of a hybrid system of artificial neural networks and artificial bee colony algorithm for prediction and modeling of customer choice in the market

Journal of Fundamental and Applied Sciences ◽

10.4314/jfas.v9i1s.685 ◽

2017 ◽

Vol 9 (1S) ◽

pp. 154 ◽

Author(s):

J Shahrabi ◽

S Mottaghi Khameneh

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Hybrid System ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Customer Choice ◽

Artificial Neural

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Artificial bee colony algorithm-neural networks for S-system models of biochemical networks approximation

Neural Computing and Applications ◽

10.1007/s00521-010-0435-z ◽

2010 ◽

Vol 21 (2) ◽

pp. 365-375 ◽

Author(s):

Wei-Chang Yeh ◽

Tsung-Jung Hsieh

Keyword(s):

Neural Networks ◽

Artificial Bee Colony Algorithm ◽

Artificial Bee Colony ◽

Biochemical Networks ◽

System Models ◽

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Time series forecasting using artificial bee colony based neural networks

2017 International Conference on Computer Science and Engineering (UBMK) ◽

10.1109/ubmk.2017.8093461 ◽

2017 ◽

Author(s):

Mustafa Akpinar ◽

M. Fatih Adak ◽

Nejat Yumusak

Keyword(s):

Neural Networks ◽

Time Series ◽

Artificial Bee Colony ◽

Time Series Forecasting ◽

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